Video Description
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The goal of automatic Video Description is to tell a story about events happening in a video. While early Video Description methods produced captions for short clips that were manually segmented to contain a single event of interest, more recently dense video captioning has been proposed to both segment distinct events in time and describe them in a series of coherent sentences. This problem is a generalization of dense image region captioning and has many practical applications, such as generating textual summaries for the visually impaired, or detecting and describing important events in surveillance footage.
Source: Joint Event Detection and Description in Continuous Video Streams
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jackaduma/nude-detect
A Mid-level Video Representation based on Binary Descriptors: A Case Study for Pornography Detection
https://github.com/jamespark3922/adv-inf
https://github.com/jssprz/video_captioning_datasets
Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research
https://github.com/lemuria-wchen/DialogVED
https://github.com/nasib-ullah/video-captioning-models-in-Pytorch
https://github.com/snap-research/panda-70m
Panda-70M: Captioning 70M Videos with Multiple Cross-Modality Teachers
https://github.com/totalgood/viddesc
https://github.com/tsenghungchen/SA-tensorflow
https://github.com/vincentcartillier/AVSD
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.