quiz bu lëkkale ak tegtal · Diggante Niveau

IA ci Quiz buy saytu ëmbiitu wideo

Saytu moderaasioŋ wideo ci biir kadre yi, wax, mbind yuñ jagleel, emprent baraam, jàngat nit ci wàllu mbir, ak gis mejaa yuñ jaay xel.

Yooni njiit yu jëm ciIA ci ëmbiitu wideo
Laaj 1 de 8

Lan moo waral ñuy woowe moderaasioŋ wideo 'multimodal'?

Xoolaatal laaj bu nekk8 laaj

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

  1. Lan moo waral ñuy woowe moderaasioŋ wideo 'multimodal'?
    • Dafa wara bokk jàngat nataal yi, yëngu yi, déglu yi ak mbind yi ci ekraŋ bi
    • Benn kamera kese lay jëfandikoo
    • Dafay dox ci telefon yu bari
    • Benn làkk kese lay dox
  2. How can perceptual hashing help a platform identify a re-upload of known harmful video?
    • By proving the uploader intention from a single frame
    • By comparing the upload’s visual fingerprint with stored fingerprints of previously identified content
    • By detecting every new harmful video without a stored reference
    • By replacing all review and policy checks
  3. Lan moo waral ba leegi platform yi di yónnee dosiye yu bari nit ñi ñuy xoolaat?
    • Nit ñi ñoo gëna gaaw ordinatër yi
    • Ngir sakkanal kuuraŋ
    • Mbir yi am solo, lu ci melni wuutale xibaar ak sargal fitna
    • Ndax IA mënul seetaan wideo
  4. Ak naka la wax-ci-tekst di jàppale ci yamale?
    • Dafay soppi melo wideo bi
    • Dafay kompresse fichier bi
    • Dafay fomp kanam yi ci saasi
    • Dafay bind audio yi suko defee NLP mëna gis kàdduy mbañeel wala fitna yuñ wax
  5. What can a robust video fingerprint help recognize after some encoding or image changes?
    • A near-duplicate of previously fingerprinted content
    • The real-world identity of the person who uploaded the clip
    • The exact intent behind a speaker’s words
    • Any harmful idea that has never appeared in a reference set
  6. Ban jafe-jafe mooy soppi jëmmu moderaasioŋ wideo?
    • Wideo yi dañuy gëna gàtt
    • Gis deepfakes ak ëmbiit synthetik yu IA defar
    • Nit ñu néew ñooy yebbi wideo
    • Gaawaayu internet bu gëna néew
  7. Why can analyzing motion across consecutive frames improve video moderation?
    • It converts every frame into an audio sample
    • It proves who uploaded the video
    • It can help identify violent actions that are not visible in a single frame
    • It removes all context from the clip
  8. What can OCR contribute to a video moderation pipeline?
    • Measuring the speaker’s heart rate
    • Restoring compressed pixels to their original source
    • Identifying the camera owner by serial number
    • Reading text overlaid in the video for review by text or policy classifiers