Tag: TG_CV
(33 ranking factors)
Factors |
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BadQualityVpq
video_production: 158
The probability of an event 'Video-flow of poor quality', the Video+query model.
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GoodQualityVpq
video_production: 159
The probability of an event 'Video-stream of good quality (HD), model Video+Query.
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VideoPlusQueryV4
video_production: 173
The proximity of the request and video tack of the document according to the CV model: Target is a deep click, the step between the frames is 2.5 seconds, a maximum of 310 seconds, the picture carcass of version 8 is applied to the frame, then LSTM is used
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DssmQueryEmbeddingWebCtrNoMinerPca0
video_production: 242
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
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DssmQueryEmbeddingWebCtrNoMinerPca1
video_production: 243
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
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DssmQueryEmbeddingWebCtrNoMinerPca2
video_production: 244
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
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DssmQueryEmbeddingWebCtrNoMinerPca3
video_production: 245
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
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DssmQueryEmbeddingWebCtrNoMinerPca4
video_production: 246
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
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DssmQueryEmbeddingWebCtrNoMinerPca5
video_production: 247
The main components of the requesting Embling from the DSSMCTRNOMINER model. It is also used in the ranking of ether.
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VideoPlusQueryV5
video_production: 306
The proximity of the request and video flow of the document according to the CV model: Target is a deep click, the step between the frames is 2.5 seconds, a maximum of 300 seconds, the picture carcass of version 9 is used to the frame, then LSTM is used
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ThumbI2T
video_production: 321
The proximity of the request and the video for the Image2Text V12 model
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ContentAudioNNEnglish
video_production: 347
The probability of recognition by a neuroclassifier by an audio cargo of English
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ContentAudioNNOther
video_production: 348
The probability of recognition by a neuroclassifier by an audio cargo of the language is not from the list: Eng, Ru, Tur
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ContentAudioNNRussian
video_production: 349
The probability of recognition by a neuroclassifier by audio cargo of the Russian language
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ContentAudioNNTurkish
video_production: 350
The probability of recognition by a neuroclassifier by audio cargo of the Turkish language
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ContentAudioNNAnimals
video_production: 351
The probability of recognition by a neuroclassifier by audio roads of the Animals category
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ContentAudioNNAutos
video_production: 352
The probability of recognition by a neuroclassifier by audio roads of the Autos category
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ContentAudioNNComedy
video_production: 353
The probability of recognition by a neuroclassifier by audio roads of the Comedy category
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ContentAudioNNEducation
video_production: 354
The probability of recognition by a neuroclassifier by audio roads of the Education category
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ContentAudioNNHowto
video_production: 355
The probability of recognition by a neuroclassifier by audio roads of the HOWTO category
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ContentAudioNNMovies
video_production: 356
The probability of recognition by a neuroclassifier by audio roads of the Movies category
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ContentAudioNNMusic
video_production: 357
The probability of recognition by a neuroclassifier by audio roads of the Music category
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ContentAudioNNNews
video_production: 358
The probability of recognition by a neuroclassifier by audio roads of the News category
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ContentAudioNNSports
video_production: 359
The probability of recognition by a neuroclassifier by audio roads of the Sports category
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ContentAudioNNTech
video_production: 360
The probability of recognition by a neuroclassifier by audio roads of the Tech category
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ContentAudioNNTravel
video_production: 361
The probability of recognition by a neuroclassifier by audio roads of the Travel category
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VideoPlusQueryV3
video_production: 372
The proximity of the request and video flow of the document according to the CV model: carcass V7 for each of 60 frames with a step of 5 seconds, on top of them LSTM, target - deep viewing.
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Vpq3GoodVisualQuality
video_production: 520
Classifier response to Video+Query V3 'Visual quality == Good'
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Vpq3NormVisualQuality
video_production: 521
Classifier response to Video+Query V3 'Visual quality == Norm'
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QueryThumbI2TSimilarityV2
video_production: 586
The similarity of i2T vehicles of the cabinet and request trained on these videos
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RelatedTitle2QueryCos
video_related: 26
Semantic proximity of documents according to Title2query.
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RelatedVideoPlusQueryCos
video_related: 27
Semantic proximity of documents according to Videoplusquery.
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RelatedVideoDssmCos
video_related: 28
Semantic proximity of documents according to VideodCplayerdssm.
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