Strand 4 Mastery: Creating and Editing Photo, Audio, and Video Media

How Digital Images Work (Pixels, Resolution, Color, and File Types)

A strong editing workflow starts with understanding what you’re actually manipulating. When you edit a photo in Photoshop, GIMP, Affinity Photo, or a web editor, you’re usually editing a raster image—a grid of tiny colored squares called pixels. Each pixel stores color information, and together they form the image you see.

Raster vs. vector (and why it matters)

A raster image (photo, screenshot) is made of pixels. If you enlarge it too much, you’ll see blocky edges (pixelation) because the software must “guess” new pixels to fill in the gaps. A vector graphic (logos, icons, many illustrations) is made from math-defined shapes and paths. Vectors can scale to any size without losing sharpness.

This distinction matters because it affects which tool and file format you should choose:

• Photos and complex textures: raster.
• Logos and clean shapes meant to scale: vector (or shapes inside a raster editor).

A common mistake is trying to “save a low-resolution raster logo as SVG” and expecting it to become infinitely sharp. File extension changes do not change the underlying structure—raster stays raster unless it is re-created or traced into vector shapes.

Image size, resolution, and print vs. screen thinking

You’ll often see two related concepts:

• Pixel dimensions: e.g., 4000 × 3000 pixels. This is the real “amount of image data.”
• Resolution for print: commonly described as pixels per inch (PPI). This is a mapping of pixels to physical paper size.

For screens, pixel dimensions usually matter more than PPI because screens display pixels directly. For print, the same pixel dimensions can produce different print sizes depending on PPI. For example, a 3000-pixel-wide image prints at:

• 10 inches wide at 300 PPI
• 20 inches wide at 150 PPI

If you try to print a small pixel image very large, you’ll get soft detail because you don’t have enough pixels to describe fine edges.

Color models: RGB vs. CMYK and why conversions can surprise you

A color model is a way to describe color numerically.

• RGB (Red, Green, Blue) is used for screens. Colors are made by adding light—more values generally means brighter.
• CMYK (Cyan, Magenta, Yellow, Key/Black) is used for many print processes. Colors are made by subtracting light—ink absorbs light.

Why you care: some bright colors on screen (RGB) cannot be reproduced exactly in print (CMYK). When you convert, you may see a duller result. A frequent workflow error is designing something intended for print entirely in RGB and only converting at the last second—then discovering the colors shift.

Bit depth and why gradients sometimes band

Bit depth describes how many tones are available per channel.

• In an 8-bit-per-channel image, each channel has 256 levels.
• In higher-bit workflows (often 16-bit per channel), you have far more tonal steps.

When you push colors hard—especially smooth skies or studio backgrounds—an 8-bit image can show banding (visible stripes in what should be a smooth gradient). Editing in higher bit depth where possible reduces this risk.

Compression, file formats, and choosing the right output

File formats are not just “containers”—they often decide how much information is preserved.

• JPEG/JPG: compressed (lossy). Great for final photos on the web; not ideal for repeated editing/saving because quality can degrade with recompression.
• PNG: lossless; supports transparency. Great for graphics, screenshots, and images needing crisp edges.
• TIFF: often lossless; used in print and archival workflows.
• RAW (camera-specific): not a finished image, but sensor data plus instructions. It gives the most flexibility for exposure and color adjustments.

A common misconception is that “PNG is always higher quality than JPEG.” PNG can be lossless, but for photographs it can produce huge files without visible benefit compared to a high-quality JPEG. The “best” format depends on purpose.

Exam Focus

• Typical question patterns:
  • Choose the best format for a scenario (web photo vs. logo with transparency vs. print).
  • Explain why an image looks pixelated after scaling or why print colors differ from screen.
  • Identify whether something is raster or vector and predict editing consequences.
• Common mistakes:
  • Treating PPI as something that improves a web image without changing pixel dimensions.
  • Assuming changing the file extension changes quality or turns raster into vector.
  • Ignoring RGB/CMYK differences until the final export.

Photo Editing Workflow: Non-Destructive Editing, RAW, and Corrective Adjustments

Editing is easiest when your workflow protects the original image and keeps decisions reversible. That’s the purpose of non-destructive editing—making changes without permanently overwriting pixel data.

What non-destructive editing means in practice

Non-destructive editing usually involves:

• Adjustment layers (or equivalent): edits stored as “instructions” you can change later.
• Masks: control where edits apply without erasing pixels.
• Smart objects / linked layers (software-dependent): preserve original data when scaling or filtering.
• Working copies: keeping the original file untouched and exporting a separate final.

The “destructive” alternative is directly changing pixels (e.g., repeatedly applying filters to the base layer). That can permanently remove detail or make later corrections impossible.

Why RAW files give you more flexibility

A RAW file stores much more sensor information than a JPEG. That matters for:

• Recovering highlight and shadow detail.
• Changing white balance with fewer artifacts.
• Avoiding color banding or posterization when pushing tones.

A practical way to think about it: JPEG is like a cooked meal served to you; RAW is like having the ingredients and recipe. You can still make a good meal from JPEG, but RAW gives you more control.

Corrective vs. creative edits (and why you should separate them)

A helpful mental model is two phases:

1. Corrective editing: make the image technically accurate and clean.
2. Creative grading: make the image feel a certain way (mood, style, brand).

If you mix these steps randomly, it becomes difficult to troubleshoot problems. For example, if a portrait looks “wrong,” is it because exposure is off (corrective) or because your color grade is too strong (creative)? Separating them makes your choices clearer.

Core corrective adjustments and what they actually do

Exposure, contrast, highlights, and shadows

These tools adjust tone (brightness) but affect different parts of the image:

• Exposure: shifts overall brightness.
• Contrast: increases difference between dark and light areas.
• Highlights: targets bright regions—useful for recovering detail in skies.
• Shadows: targets dark regions—useful for opening up detail in hair or clothing.

A frequent error is raising exposure to brighten a face and accidentally blowing out the sky. A better approach is targeted adjustments with masks or separate highlight/shadow controls.

White balance and color casts

White balance corrects color temperature so whites look neutral. Indoor lighting can create yellow/orange casts; shade can create blue casts. The goal isn’t always “perfect neutrality”—sometimes warm light is the mood—but you should control it intentionally.

Practical method:

• Identify something in the scene that should be neutral (white/gray).
• Use a white balance tool or manually adjust temperature/tint until neutrals look correct.

Curves and levels (power tools for tonal control)

Many editors include Levels and Curves.

• Levels is like setting black point, midtones, and white point with sliders.
• Curves gives precise control over tonal ranges by reshaping a line that maps input brightness to output brightness.

Curves can be intimidating, but the concept is simple: you’re remapping tones. A gentle S-curve often increases contrast; lifting the shadow area brightens dark tones.

Cropping, straightening, and lens corrections

These are “invisible” edits that dramatically improve quality.

• Crop improves composition and removes distractions.
• Straighten fixes tilted horizons.
• Lens corrections can fix barrel/pincushion distortion and vignetting.

Common mistake: cropping too tightly and removing necessary context or cutting off limbs awkwardly in portraits. Composition rules help, but you also need practical awareness: leave breathing room where the viewer expects it.

Exam Focus

• Typical question patterns:
  • Describe a non-destructive workflow for editing a photo.
  • Choose the best corrective adjustment for a problem (color cast, blown highlights, dark shadows).
  • Explain why RAW is preferred for heavy edits.
• Common mistakes:
  • Flattening layers too early and losing edit flexibility.
  • Overcorrecting white balance until skin tones look unnatural.
  • Using global exposure changes instead of targeted adjustments.

Selections, Masks, and Layers: The Core Mechanics of Photo Compositing

Most “professional-looking” edits rely less on fancy filters and more on clean control: selecting the right pixels, isolating subjects, and blending elements realistically.

Layers: what they are and why they’re essential

A layer is like a transparent sheet stacked on others. Each layer can contain pixels, text, shapes, or adjustments. Layers matter because they let you:

• Work on one element without damaging others.
• Reorder elements (foreground/background).
• Blend elements using opacity and blending modes.

A common beginner mistake is doing everything on one background layer. You can still make changes, but it becomes hard to revise without undoing large sections.

Selections: isolating areas you want to edit

A selection defines which pixels are affected by an action.

Common selection approaches:

• Marquee/lasso tools: manual selection.
• Quick selection / object selection: automated edge detection.
• Color range: select based on color similarity.
• Pen tool / paths (in many editors): best for crisp edges like product photos.

No selection method is perfect for every image. Hair, smoke, and motion blur are especially challenging because the edge is not a clean line.

Masks: editing without erasing

A mask controls visibility of a layer.

• White reveals.
• Black hides.
• Gray partially reveals (soft blending).

Masks are foundational for non-destructive compositing because you can refine the edge later instead of permanently deleting pixels. If you cut out a subject by erasing, you lose the “hidden” pixels forever unless you undo.

Practical example: replacing a sky

1. Put the new sky on a layer below.
2. Select the original sky.
3. Add a mask to the original photo layer so the sky area becomes transparent.
4. Refine mask edges (feather, contrast, edge shift) to avoid halos.

Common error: a bright “halo” around the subject. This often happens when the original sky color is still partly present at the edges. Refining the mask and using slight defringing (software-dependent) helps.

Blending modes and realistic integration

Blending modes determine how a layer’s pixels interact with layers below (e.g., Multiply darkens, Screen lightens). They can:

• Integrate textures.
• Add light leaks or overlays.
• Combine exposures.

However, blending modes are not magic. If perspective, lighting direction, color temperature, and sharpness don’t match between elements, the composite will still look fake. Realism usually depends on:

• Matching light direction and shadow softness.
• Matching color temperature.
• Matching noise/grain and sharpness.
• Matching depth of field (background blur vs. subject sharpness).

Exam Focus

• Typical question patterns:
  • Explain the difference between a selection and a mask and when to use each.
  • Describe steps to composite two images realistically.
  • Identify why a composite looks “cut out” and how to fix it.
• Common mistakes:
  • Erasing instead of masking, then being unable to refine later.
  • Ignoring edge quality (feathering too much or too little).
  • Forgetting to match lighting and color between combined images.

Retouching and Restoration: Improving Images Without Making Them Look Fake

Retouching is the art of removing distractions and improving a subject while keeping the result believable. Restoration focuses on repairing damage in old or degraded images.

Ethical retouching and the goal of “natural” edits

Retouching can easily go too far—plastic skin, warped body proportions, or overly sharpened eyes. The best retouching usually looks like “this is how it was on a good day,” not “this was redesigned.”

A useful guideline: if the edit changes identity (face shape, permanent features) rather than temporary distractions (blemishes, stray hair, lint), you should pause and consider ethics, consent, and intended use.

Common retouching tools and what they’re doing underneath

Spot healing / healing brush

These tools replace unwanted pixels by sampling nearby texture and blending it with surrounding tones. They’re great for:

• Small blemishes.
• Dust spots.
• Sensor dirt.

Mistake to avoid: using a healing tool on edges (like a jawline or eyebrow) where the texture changes abruptly—it can smear detail.

Clone stamp (or equivalent)

Cloning copies pixels exactly from a source area to a target area. It’s powerful for:

• Repeating patterns.
• Fixing edges.
• Controlled restoration.

Because cloning is literal copying, it can create obvious repetition artifacts if you clone the same patch repeatedly. Vary your sample points.

Frequency separation (conceptual overview)

Some workflows separate an image into “texture” and “tone/color” layers to retouch skin while preserving pores. You don’t need the technique name to understand the principle: avoid blurring away texture if you want realistic skin. Overuse is a classic source of the “waxy” look.

Sharpening and noise reduction: opposite tools you must balance

• Noise reduction smooths grainy speckles (often from low light/high ISO) but can remove detail.
• Sharpening increases edge contrast to make detail appear crisper but can increase noise and halos.

A practical workflow is to reduce noise first (especially in shadows), then sharpen selectively—often masking sharpening away from smooth skin areas.

Restoration: scratches, fading, and rebuilding missing information

Old photos often have:

• Scratches and dust.
• Color shifts (yellowing).
• Faded contrast.

Restoration typically uses a combination of:

• Healing/cloning for defects.
• Curves/levels for contrast recovery.
• Color correction to neutralize aging tints.

What can go wrong: trying to “auto-fix” everything with one filter. Restoration is usually a careful local process—fixing small areas while protecting important edges (eyes, lips, text in a scanned document).

Exam Focus

• Typical question patterns:
  • Choose between healing vs. cloning for a specific defect.
  • Explain why sharpening created halos or why noise reduction made an image look soft.
  • Describe an ethical concern in retouching and how to handle it.
• Common mistakes:
  • Over-smoothing skin and removing natural texture.
  • Applying heavy global sharpening to the whole image.
  • Cloning repeated patterns that become visually obvious.

Typography and Graphics in Imaging: Designing for Communication (Not Just Decoration)

Even in “photo imaging,” you often need to add text: posters, thumbnails, social media graphics, labels, or title cards. Text and layout are part of visual communication, and small design decisions strongly affect readability.

Rasterized text vs. editable text

In most editors, text can remain as a type layer (editable) or be rasterized (converted to pixels). Keep text editable as long as possible because:

• You can fix typos instantly.
• You can change font, size, tracking, and alignment.
• You can export different versions without rebuilding.

Rasterizing too early is a common workflow mistake that forces you to redo text from scratch.

Hierarchy: guiding the viewer’s eye

Visual hierarchy means making the most important information stand out first. You create hierarchy using:

• Size (big headline, smaller details)
• Weight (bold vs. light)
• Contrast (light text on dark background)
• Spacing and alignment

A poster with everything the same size and weight feels confusing because nothing tells the viewer what to read first.

Readability: contrast, safe margins, and background control

Text fails most often for predictable reasons:

• Not enough contrast between text and background.
• Busy backgrounds behind text.
• Too many fonts.

A practical fix is to create separation—add a subtle dark overlay behind text, blur the background slightly, or place text inside a shape with padding.

File output for graphics

If the graphic includes sharp text and logos:

• Use PNG for web to preserve crisp edges.
• Use high-quality export settings to avoid compression artifacts around text.

JPEG compression tends to create blocky artifacts near high-contrast edges—exactly what text and logos contain.

Exam Focus

• Typical question patterns:
  • Identify why text is hard to read and propose design fixes.
  • Choose the right export format for a social media graphic with text.
  • Explain why keeping type editable matters in a workflow.
• Common mistakes:
  • Using low-contrast color combinations that look “stylish” but are unreadable.
  • Rasterizing type too early and losing editability.
  • Exporting text-heavy graphics as heavily compressed JPEGs.

Digital Audio Fundamentals: Sampling, Bit Depth, and Common Audio Problems

Audio is half of video quality. Viewers will tolerate slightly imperfect visuals sooner than they’ll tolerate muddy, distorted, or inconsistent audio.

How digital audio represents sound

Sound is a pressure wave. Digital audio stores a numeric representation of that wave.

Two core ideas define audio quality:

• Sample rate: how many times per second the waveform is measured.
• Bit depth: how precisely each measurement is stored.

You don’t need to memorize niche numbers to edit audio well, but you do need the concept: higher sample rates capture higher-frequency detail; higher bit depth gives more room for dynamic range and reduces quantization noise in processing.

Mono vs. stereo (and why it affects editing)

• Mono audio has one channel.
• Stereo has two channels (left and right).

Stereo is useful for music and spatial ambience. Dialogue is often effectively mono (a single mic source), even if it’s stored in a stereo file. A classic mistake is accidentally panning dialogue to one side so it plays mostly in the left ear—always check channel balance.

Levels, clipping, and noise floor

Audio editing is largely about controlling levels.

• Clipping happens when the signal exceeds the maximum level the system can store, creating harsh distortion. Once clipped, it’s difficult to truly repair.
• Noise floor is the background hiss/room noise present even when nobody is speaking.

Good practice is to record with enough level to be clear while leaving headroom so loud moments don’t clip.

Common audio issues and what causes them

• Plosives (P and B blasts): air hits the mic capsule; use a pop filter and mic technique.
• Sibilance (harsh S sounds): often mic/voice combination; handled with a de-esser.
• Hum/buzz: electrical interference or ground issues.
• Reverb/echo: reflective room surfaces; fix at recording with better space, mic placement, or treatment.

The biggest misconception is thinking you can “fix anything in post.” You can improve a lot, but clean recording technique matters more than any plugin.

Exam Focus

• Typical question patterns:
  • Explain clipping and how to prevent it.
  • Identify whether a problem is noise, reverb, or distortion and choose a solution.
  • Compare mono vs. stereo use cases.
• Common mistakes:
  • Recording too hot and clipping peaks.
  • Overusing noise reduction, creating robotic artifacts.
  • Neglecting room acoustics and assuming software will remove echo.

Audio Editing and Mixing: Cleaning Dialogue, Adding Music, and Delivering Consistent Sound

Editing audio means shaping it so the listener focuses on the message, not the recording problems.

Dialogue editing workflow (clean, then shape, then mix)

A reliable workflow is:

1. Clean: remove obvious mistakes, silence handling, reduce hum.
2. Shape: EQ and dynamics to improve clarity.
3. Mix: balance dialogue, music, and effects.

If you skip straight to mixing, you’ll end up fighting problems (noise, harshness) with volume changes that don’t solve the root cause.

Noise reduction: use lightly and strategically

Noise reduction tools analyze a noise profile and subtract it. This can help with consistent background hiss, but aggressive settings can cause metallic or underwater artifacts.

Better strategy:

• Reduce noise modestly.
• Use gating/expansion carefully to lower noise during pauses.
• Add room tone where needed so silence doesn’t sound unnatural.

EQ (equalization): making space for the voice

EQ changes the balance of frequencies.

• Cutting muddiness (often low-mid build-up) can make speech clearer.
• Rolling off very low rumble can reduce handling noise.

What goes wrong: boosting high frequencies too much to “add clarity” can increase hiss and make sibilance painful. Subtractive EQ (cutting problem areas) is often safer than excessive boosting.

Compression: controlling dynamic range

Compression reduces the volume difference between loud and quiet parts. It helps dialogue remain intelligible without constantly riding the volume fader.

Common beginner error: over-compressing so the voice sounds squashed and brings up background noise. Compression is a balancing act: improve consistency without destroying natural expression.

Mixing music under dialogue

When you add background music:

• Lower it under speech.
• Consider EQ-ing music to make space for the voice (especially mid frequencies).
• Fade music in/out to avoid abrupt transitions.

A frequent mistake is choosing music that competes with the speaking range—then you try to fix it by turning music down so far it becomes pointless. Choosing appropriate music is part of mixing.

Exporting audio: format and purpose

• For editing and archiving, lossless formats (like WAV) are common.
• For delivery, compressed formats (like MP3 or AAC) are typical depending on platform.

Key principle: don’t repeatedly re-export lossy audio during production. Keep a high-quality master, then export a final deliverable.

Exam Focus

• Typical question patterns:
  • Describe steps to clean and mix dialogue for a short video.
  • Explain what EQ and compression do and why you’d use them.
  • Choose an export approach for production vs. delivery.
• Common mistakes:
  • Overusing noise reduction until voices sound unnatural.
  • Compressing too heavily and raising background noise.
  • Editing in a lossy format and compounding artifacts over multiple exports.

Digital Video Fundamentals: Frames, Frame Rate, Resolution, and Compression

Video is a sequence of still images (frames) plus audio. Understanding the technical building blocks prevents common editing problems like choppy motion, mismatched quality, or exports that look worse than the timeline.

Frame rate and motion

Frame rate is how many frames per second are displayed. Higher frame rates show motion more smoothly, but they also affect file size and the “feel” of movement.

What matters in editing is consistency. Mixing frame rates without understanding the project settings can cause:

• Jittery motion.
• Unnatural “frame blending.”
• Audio sync issues in some workflows.

Resolution and aspect ratio

• Resolution is the pixel dimensions of the video frame (e.g., 1920 × 1080).
• Aspect ratio is the shape (e.g., 16:9 widescreen, 9:16 vertical video).

A common beginner mistake is placing vertical phone footage into a horizontal timeline (or vice versa) and scaling incorrectly—leading to blurry upscales or awkward black bars. The fix is to plan your target platform early (YouTube horizontal vs. TikTok vertical) and set the sequence/project accordingly.

Interlaced vs. progressive (conceptual)

Some older video formats use interlacing, where each frame is split into alternating lines. Modern delivery is typically progressive. The key practical point: mismatched settings can produce comb-like artifacts in motion. If you see that, check deinterlacing and footage interpretation settings.

Codecs and containers: why “MP4” isn’t the whole story

A container (like MP4 or MOV) is the file wrapper. A codec is the method used to compress and store video and audio inside the container.

Two MP4 files can behave very differently because they may use different codecs and bitrates. When exports look blocky, the cause is often codec settings or bitrate being too low for the content (fast motion, detailed textures).

Bitrate and visual artifacts

Bitrate is how much data per second is used to store the video.

• Too low → blockiness, banding, smearing in motion.
• Higher → better quality but larger files.

A misconception is thinking “resolution alone determines quality.” You can have a high-resolution file that looks terrible if the bitrate is too low.

Exam Focus

• Typical question patterns:
  • Explain frame rate issues and what happens when you mix footage improperly.
  • Distinguish resolution vs. aspect ratio and choose settings for a platform.
  • Explain why one MP4 looks worse than another (codec/bitrate).
• Common mistakes:
  • Ignoring project settings and forcing footage to fit, causing distortion.
  • Confusing container (MP4) with codec (how it’s compressed).
  • Using extremely low bitrates and blaming the camera.

Video Editing Workflow: Import, Timeline Editing, Color, and Audio Sync

Video editing is a pipeline: organize assets, assemble story, refine timing, then polish with color and audio.

Project organization and media management

Good editors label and organize early:

• Folders/bins for video, audio, music, graphics, exports.
• Clear file naming.
• Consistent storage location.

Why it matters: missing media (offline files) is one of the most common production disasters. If you move files after importing, many editors lose track. The fix is disciplined folder structure before you start and avoiding random downloads folders as your “project drive.”

The timeline: cuts, trimming, and pacing

Most edits are variations of the cut:

• Cut: instantaneous transition.
• J-cut/L-cut: audio leads or trails video to smooth dialogue scenes.

Pacing is about when you cut. The “right” timing is often driven by:

• Meaning (cut when the idea changes).
• Emotion (hold longer for impact).
• Rhythm (match music beats when appropriate).

A common mistake is overusing flashy transitions. Clean cuts usually feel more professional because they don’t distract from content.

B-roll and coverage: making edits smoother

B-roll is supplementary footage layered over the main narrative (A-roll). It hides jump cuts and adds context.

Example: In an interview, if you cut out a pause, the speaker’s head position may jump. Laying relevant B-roll over that cut keeps audio continuous while the viewer sees something meaningful.

Titles, lower thirds, and graphics integration

Video titles need the same design principles as photo graphics—hierarchy and readability—but also must respect:

• Safe areas (avoid placing text too close to edges where it may be cropped on some displays).
• Motion (titles should stay on screen long enough to read).

Color correction vs. color grading

This mirrors photo workflows:

• Color correction: fix exposure and white balance so shots match.
• Color grading: apply a look (cinematic teal/orange, warm documentary feel, etc.).

If you grade before matching shots, you can lock in inconsistencies—one clip stays greener, another stays magenta—then your “look” amplifies the mismatch.

Audio sync and sound-first thinking

Even if you’re “doing video,” your workflow should treat audio carefully:

• Sync external audio (clapper/hand clap spike helps).
• Check for drift on long clips.
• Balance dialogue/music/effects.

A classic mistake is exporting a video that sounds fine on headphones but terrible on phone speakers. Always monitor on at least two playback systems when possible.

Exam Focus

• Typical question patterns:
  • Describe a complete workflow from import to final export, including organization.
  • Explain how to use B-roll to improve pacing or hide jump cuts.
  • Distinguish correction vs. grading and justify an editing order.
• Common mistakes:
  • Disorganized media leading to missing/offline files.
  • Using transitions as a substitute for good pacing.
  • Forgetting to monitor audio on multiple systems and missing balance problems.

Exporting and Delivery: Matching Settings to Platform and Preserving Quality

Finishing is not just clicking “Export.” Delivery is where many projects lose quality through mismatched settings.

Master vs. deliverables

A professional mindset is:

• Keep a master export at high quality for archiving and future re-exports.
• Create separate deliverables optimized for specific platforms (web, social, classroom presentation).

This matters because social platforms often recompress uploads. If you upload a heavily compressed file, it can get compressed again and look worse.

Choosing export settings logically

Your choices should reflect:

• Target resolution and aspect ratio (platform requirement).
• Frame rate (match your timeline unless you have a reason not to).
• Codec and bitrate (balance quality and file size).

If your export looks softer than the preview, common causes include:

• Exporting at a lower resolution than the timeline.
• Too low bitrate.
• Scaling footage significantly (especially upscaling low-res clips).

Captions and accessibility (why they’re part of “imaging”)

Captions improve accessibility and comprehension, especially in noisy environments or muted autoplay feeds. Even when not required, captions are a quality feature.

Be careful: auto-captions often contain errors. If the content is assessed, graded, or published officially, review and correct captions for accuracy.

Exam Focus

• Typical question patterns:
  • Recommend export settings for a platform scenario (vertical social vs. classroom projector).
  • Diagnose why an export looks blocky or soft compared to the edit.
  • Explain why you’d keep a high-quality master file.
• Common mistakes:
  • Exporting at the wrong aspect ratio and stretching to fit.
  • Choosing extremely low bitrates and accepting artifacts.
  • Relying on auto-captions without correcting errors.

Legal and Ethical Responsibilities: Copyright, Licensing, Attribution, and Truthfulness

Working with audio, video, and photos means working with other people’s likenesses and creative work. Ethical and legal awareness is part of technical competence.

Copyright basics for media creators

Copyright generally protects original creative works (photos, music, video, graphics). Using media you didn’t create requires permission unless an exception applies (rules vary by jurisdiction and context). In school settings, you may have educational allowances, but you should still follow your institution’s guidelines.

The safest workflow is:

• Use your own captured media.
• Use properly licensed assets (Creative Commons or paid libraries) and follow license terms.
• Keep attribution notes as you collect assets so you’re not guessing later.

A common mistake is assuming “if it’s on Google, it’s free.” Search results are not a license.

Model releases and privacy

If you film or photograph people for publication, consent can matter—especially for commercial use or sensitive contexts. Even when something is legal, it may not be ethical.

Practical habit: ask permission, explain intended use, and respect requests to remove content.

Manipulation and truthfulness (especially in journalism-like work)

Editing can mislead:

• Removing context through cropping.
• Altering colors to imply something untrue.
• Compositing elements into a scene.

In creative art, heavy manipulation may be fine. In documentary, news, or evidence contexts, it can be unethical or disallowed. The key is intent and transparency—know the expectations of the project and audience.

Exam Focus

• Typical question patterns:
  • Identify whether a use case requires licensed media and what steps to take.
  • Explain an ethical issue in photo manipulation and propose a responsible approach.
  • Describe best practices for attribution and asset tracking.
• Common mistakes:
  • Using copyrighted music in a video and assuming it’s acceptable because it’s “for school” without checking policy.
  • Forgetting license restrictions (non-commercial, share-alike, attribution requirements).
  • Editing images in ways that misrepresent reality in a context that requires truthfulness.