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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 4150 of 104 papers

TitleStatusHype
An Efficient Keyframes Selection Based Framework for Video Captioning0
NarrationBot and InfoBot: A Hybrid System for Automated Video Description0
Visual-aware Attention Dual-stream Decoder for Video Captioning0
Boosting Video Captioning with Dynamic Loss Network0
Efficient data-driven encoding of scene motion using Eccentricity0
The Role of the Input in Natural Language Video Description0
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning0
MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish0
A Comprehensive Review on Recent Methods and Challenges of Video Description0
Identity-Aware Multi-Sentence Video DescriptionCode1
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