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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 6170 of 104 papers

TitleStatusHype
Towards Zero-Shot & Explainable Video Description by Reasoning over Graphs of Events in Space and Time0
Unbox the Blackbox: Predict and Interpret YouTube Viewership Using Deep Learning0
Vectors of Locally Aggregated Centers for Compact Video Representation0
VideoA11y: Method and Dataset for Accessible Video Description0
VideoCLIP-XL: Advancing Long Description Understanding for Video CLIP Models0
Video Description: A Survey of Methods, Datasets and Evaluation Metrics0
VideoMCC: a New Benchmark for Video Comprehension0
Visual-aware Attention Dual-stream Decoder for Video Captioning0
A Comprehensive Review on Recent Methods and Challenges of Video Description0
X-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Model0
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