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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 3140 of 104 papers

TitleStatusHype
https://arxiv.org/abs/2407.00634Code0
MSVD-Indonesian: A Benchmark for Multimodal Video-Text Tasks in IndonesianCode0
TGIF: A New Dataset and Benchmark on Animated GIF DescriptionCode0
End-to-End Audio Visual Scene-Aware Dialog using Multimodal Attention-Based Video FeaturesCode0
Implicit Location-Caption Alignment via Complementary Masking for Weakly-Supervised Dense Video CaptioningCode0
Attention-Based Multimodal Fusion for Video Description0
DANTE-AD: Dual-Vision Attention Network for Long-Term Audio Description0
Attention Based Encoder Decoder Model for Video Captioning in Nepali (2023)0
Cross-Modal Learning for Music-to-Music-Video Description Generation0
Coherent Multi-Sentence Video Description with Variable Level of Detail0
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