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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

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Showing 26–50 of 104 papers

TitleStatusHype
Cross-Modal Learning for Music-to-Music-Video Description Generation—0
DANTE-AD: Dual-Vision Attention Network for Long-Term Audio Description—0
Multi-Layer Content Interaction Through Quaternion Product For Visual Question Answering—0
Attention-Based Multimodal Fusion for Video Description—0
Active Learning for Video Description With Cluster-Regularized Ensemble Ranking—0
ActionHub: A Large-scale Action Video Description Dataset for Zero-shot Action Recognition—0
End-to-End Video Captioning—0
Interpretable Video Captioning via Trajectory Structured Localization—0
Boosting Video Captioning with Dynamic Loss Network—0
Bidirectional Long-Short Term Memory for Video Description—0
An Efficient Keyframes Selection Based Framework for Video Captioning—0
JU\_CSE\_NLP: Multi-grade Classification of Semantic Similarity between Text Pairs—0
Generating Video Description using Sequence-to-sequence Model with Temporal Attention—0
Better Exploiting Motion for Better Action Recognition—0
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis—0
HENRY-CORE: Domain Adaptation and Stacking for Text Similarity—0
Hierarchical Boundary-Aware Neural Encoder for Video Captioning—0
HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation—0
Bridge Video and Text with Cascade Syntactic Structure—0
AVD2: Accident Video Diffusion for Accident Video Description—0
FIOVA: A Multi-Annotator Benchmark for Human-Aligned Video Captioning—0
Prediction and Description of Near-Future Activities in Video—0
Incorporating Background Knowledge into Video Description Generation—0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.—0
Analyzing Political Figures in Real-Time: Leveraging YouTube Metadata for Sentiment Analysis—0
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