SOTAVerified

Video Description

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

Papers

Showing 3140 of 104 papers

TitleStatusHype
Bridge Video and Text with Cascade Syntactic Structure0
End-to-End Video Captioning0
Boosting Video Captioning with Dynamic Loss Network0
Bidirectional Long-Short Term Memory for Video Description0
An Efficient Keyframes Selection Based Framework for Video Captioning0
ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition0
Generating Video Description using Sequence-to-sequence Model with Temporal Attention0
Better Exploiting Motion for Better Action Recognition0
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis0
AVD2: Accident Video Diffusion for Accident Video Description0
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