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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
Attend and Interact: Higher-Order Object Interactions for Video Understanding0
CLearViD: Curriculum Learning for Video Description0
Prediction and Description of Near-Future Activities in Video0
A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching0
A Labelled Dataset for Sentiment Analysis of Videos on YouTube, TikTok, and Other Sources about the 2024 Outbreak of Measles0
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking0
FIOVA: A Multi-Annotator Benchmark for Human-Aligned Video Captioning0
Incorporating Background Knowledge into Video Description Generation0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.0
HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation0
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