I-AI ekulinganiseni okuqukethwe kwevidiyo
Ukubuyekezwa kwe-AI elayishiwe nesakazwa bukhoma kuvidiyo ukuze kutholwe izinto eziyingozi njengodlame, ubunqunu, noma inkulumo enenzondo ngokushesha okukhulu kunokuba omengameli abangabantu bebodwa.
Uhlolojikelele
It matters because platforms receive hundreds of hours of video every minute, making manual review impossible at scale.
I-Deep Dive
Ukulinganiswa kwevidiyo kuyi-multimodal: isiqeshana esisodwa siphethe izithombe, ukunyakaza, umsindo, nombhalo osesikrinini. Amasampuli ezinhlaka zozimele futhi asebenzise izihlukanisi zombono wekhompyutha ukuze zibone ubunqunu, izikhali, izimpawu eziyingozi, noma izimpawu eziyingozi; bahlaziya ukunyakaza kuzo zonke izinhlaka ukuze bahlabe umkhosi izenzo zobudlova; inkulumo-to-umbhalo ibhala umsindo ukuze amamodeli e-NLP akwazi ukubamba inkulumo enenzondo noma izinsongo; futhi ukubonwa kwezinhlamvu okubonakalayo kufunda umbhalo ombozwe kuvidiyo. Indlela ebalulekile i-hashing: amavidiyo aziwayo ayingozi (njengenkulumo-ze yamaphekula noma izinto ezihlukumeza izingane) aguqulwa abe izigxivizo zeminwe zedijithali ukuze ukulayishwa kabusha kuvinjwe khona manjalo ngaphandle kokuhlaziywa kabusha. Ngenxa yokuthi umongo ubalulekile, umbiko wezindaba obonisa udlame uyahluka ekubukhazimuliseni, izinkundla eziningi zisebenzisa i-AI ukuze zihlole futhi zibeke phambili, bese zihambisa amacala angacacile kubabuyekezi abangabantu.
I-Technical Insight
I-Perceptual hashing (efana ne-PhotoDNA kanye ne-PDQ yezithombe, kanye nokuhluka kwe-video-hashing) kukhiqiza izigxivizo zeminwe eziqinile ukuze zishintshe usayizi omusha, ukucindezela kabusha, noma ukuhlela okuncane, ngakho ukulayisha kabusha okushintshwe kancane kusafana nokufakwa okubi okwaziwayo kuzigcinilwazi zomkhakha owabiwe. Ngokuqukethwe kwenoveli, abahlukanisi bezigaba abajulile basebenzisa amasampula ozimele namasegimenti omsindo, akhiqiza amaphuzu wokuzethemba; izinto eziseduze nomngcele wesinqumo kuphela ezikhushulelwa kubantu, okugcina izindleko nokubambezeleka kulawulwa ezigidini zezigidi zokulayisha.
I-Strategic Impact
Yakha ukukhetha
Idizayini yezinga lohlelo lokusebenza inquma ukuthi i-AI iyathuthukisa yini imiphumela yangempela.
Ithimba kanye nokusebenza komsebenzi
Ukuhlanganiswa okuhle kokuhamba komsebenzi kudala izinzuzo zokukhiqiza abasebenzisi abangazethemba.
Ingozi nokuphepha
Amacala okusetshenziswa ahlelwe kahle anciphisa ukukhathala okushintshile kanye nengozi yokuqaliswa.
Ikusasa le-AI ekulinganiseni okuqukethwe kwevidiyo
Amamodeli aqhubekela ekuqondeni kwangempela kwevidiyo, ebonisana ngakho konke ukulandisa kwesiqeshana kunezinhlaka ezizimele, okusiza ukwehlukanisa amadokhumenti ekukhazimuliseni. Ukulinganiswa kwesikhathi sangempela kokusakaza bukhoma kugxilwe kakhulu ngemva kokuhluleka kwephrofayili ephezulu. Ngesikhathi esifanayo, i-AI ekhiqizayo yenza ama-deepfakes kanye nokuqukethwe okuhlukumezayo kokwenziwa kube lula ukukhiqiza, ngakho ukutholwa kwevidiyo ekhiqizwe i-AI nekhohliwe, kanye namalebula atholakalayo, kuba okubalulekile emsebenzini wokwethembana nokuphepha.
Ukuqaliswa Komhlaba Wangempela
I-YouTube ithola ngokuzenzakalelayo futhi ikhawulele ubudala noma isuse udlame oluyingcaca nobunqunu kokulayishiwe
Meta nezinye izinkundla zisebenzisa isizindalwazi esabiwe se-hashi (nge-GIFCT) ukuze kuvinjwe inkulumo-ze yamaphekula eyaziwayo kuwo wonke amasevisi
I-TikTok iskena ukusakaza bukhoma cishe ngesikhathi sangempela ukuze iphazamise okuqukethwe okunqunu noma ukuzilimaza
Amapulatifomu aloba umsindo ukuze abambe inkulumo enenzondo nezinsongo ezikhulunywa kumavidiyo, hhayi nje aboniswe ngokubonakalayo
Izingozi & Guardrails
Ukuzenzakalela inqubo ephukile kungakhulisa izinkinga ezikhona.
Amaqembu angase azenze ngokuzenzakalelayo futhi asuse ukwahlulela komuntu okudingekayo.
Ikhwalithi ingakhukhuleka uma okuphumayo kungahlolwa ngokuqhubekayo.
Ukuqalisa Umhlahlandlela
Imephu yokuhamba komsebenzi kwamanje futhi uhlonze isinyathelo sokungqubuzana okuphezulu kakhulu.
Chaza izindawo zokuhlola abantu ngaphambi kokuzenzakalela okugcwele.
Qeqesha abasebenzisi ngokwaziswa, izindlela zokukhuphuka, namazinga ekhwalithi.
Landelela imiphumela yezinga lomsebenzi ukuze uqinisekise inani eliqhubekayo.
Qhubeka Uhlole
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Umhlahlandlela olandelayo
I-AI emdlalweni wevidiyo we-NPC Behaviour
Imibuzo evame ukubuzwa
What is AI in Video Content Moderation?
Ukubuyekezwa kwe-AI elayishiwe nesakazwa bukhoma kuvidiyo ukuze kutholwe izinto eziyingozi njengodlame, ubunqunu, noma inkulumo enenzondo ngokushesha okukhulu kunokuba omengameli abangabantu bebodwa. Kubalulekile ngoba amapulatifomu athola amakhulukhulu wamahora evidiyo njalo ngeminithi, okwenza ukubuyekezwa mathupha kungenzeki esikalini.
Kungani ukulinganiswa kwevidiyo kuchazwa ngokuthi 'i-multimodal'?
Ividiyo ihlanganisa izinhlobo zesignali ezimbalwa, ngakho ukulinganisela okuphumelelayo kudinga umbono, ukuhlaziya ukunyakaza, inkulumo-kuya-umbhalo, kanye ne-OCR esebenza ndawonye.
Iyiphi inzuzo enkulu ye-perceptual hashing kumavidiyo ayingozi aziwayo?
I-Hashing idala izigxivizo zeminwe zokuqukethwe okubi okwaziwayo ukuze okufanayo kubanjwe ngokushesha, ngisho nangemva kokuhlela okuncane, ngaphandle kokuphinda kuqalise ukuhlaziya okugcwele.
Kungani izinkundla zisahambisa amacala amaningi kubabuyekezi abangabantu?
I-AI iyahlola futhi ithole amaphuzu okuqukethwe, kodwa amacala angacacile adinga ukwahlulela mayelana nenhloso nomongo adlulela kubantu.
Ingabe inkulumo-to-umbhalo inegalelo kanjani ekulinganiseni?
Okuqukethwe okulimazayo kungakhulunywa kunokuboniswa, ngakho ukuloba umsindo kuvumela amamodeli ombhalo akubambe.
Yini eyenza i-perceptual hashing iqine uma iqhathaniswa nokufana kwekhophi ncamashi?
Amaheshi okuqonda aklanyelwe ukuthi asinde ezinguqukweni ezincane, ngakho abalayishi kabusha abakwazi ukubalekela ukutholwa ngezinguquko ezingasho lutho.