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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 76100 of 104 papers

TitleStatusHype
Analyzing Political Figures in Real-Time: Leveraging YouTube Metadata for Sentiment Analysis0
An Efficient Keyframes Selection Based Framework for Video Captioning0
End-to-End Video Captioning0
A Thousand Frames in Just a Few Words: Lingual Description of Videos through Latent Topics and Sparse Object Stitching0
Attend and Interact: Higher-Order Object Interactions for Video Understanding0
Attention Based Encoder Decoder Model for Video Captioning in Nepali (2023)0
Attention-Based Multimodal Fusion for Video Description0
Attentive Sequence to Sequence Translation for Localizing Clips of Interest by Natural Language Descriptions0
AVD2: Accident Video Diffusion for Accident Video Description0
Better Exploiting Motion for Better Action Recognition0
Bidirectional Long-Short Term Memory for Video Description0
Boosting Video Captioning with Dynamic Loss Network0
Bridge Video and Text with Cascade Syntactic Structure0
FIOVA: A Multi-Annotator Benchmark for Human-Aligned Video Captioning0
Prediction and Description of Near-Future Activities in Video0
CLearViD: Curriculum Learning for Video Description0
Coherent Multi-Sentence Video Description with Variable Level of Detail0
Cross-Modal Learning for Music-to-Music-Video Description Generation0
DANTE-AD: Dual-Vision Attention Network for Long-Term Audio Description0
Efficient data-driven encoding of scene motion using Eccentricity0
Enhancing Video Understanding: Deep Neural Networks for Spatiotemporal Analysis0
Generating Video Description using Sequence-to-sequence Model with Temporal Attention0
HENRY-CORE: Domain Adaptation and Stacking for Text Similarity0
Hierarchical Boundary-Aware Neural Encoder for Video Captioning0
HOIGen-1M: A Large-scale Dataset for Human-Object Interaction Video Generation0
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