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
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Video Description using Bidirectional Recurrent Neural Networks
TGIF: A New Dataset and Benchmark on Animated GIF Description
Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text
Vectors of Locally Aggregated Centers for Compact Video Representation
A Multi-scale Multiple Instance Video Description Network
Using Descriptive Video Services to Create a Large Data Source for Video Annotation Research
Describing Videos by Exploiting Temporal Structure
Coherent Multi-Sentence Video Description with Variable Level of Detail
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.