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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 5175 of 104 papers

TitleStatusHype
Semantic Neighborhoods as Hypergraphs0
SHEF-Multimodal: Grounding Machine Translation on Images0
SRIUBC: Simple Similarity Features for Semantic Textual Similarity0
Synchronized Audio-Visual Frames with Fractional Positional Encoding for Transformers in Video-to-Text Translation0
Task-Driven Dynamic Fusion: Reducing Ambiguity in Video Description0
Technical Report: Competition Solution For Modelscope-Sora0
The Role of the Input in Natural Language Video Description0
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
Incorporating Background Knowledge into Video Description Generation0
Incorporating Global Visual Features into Attention-based Neural Machine Translation.0
Incorporating Semantic Attention in Video Description Generation0
Integrating both Visual and Audio Cues for Enhanced Video Caption0
Interpretable Video Captioning via Trajectory Structured Localization0
JU\_CSE\_NLP: Multi-grade Classification of Semantic Similarity between Text Pairs0
Kubrick: Multimodal Agent Collaborations for Synthetic Video Generation0
LLAVIDAL: A Large LAnguage VIsion Model for Daily Activities of Living0
MSR-VTT: A Large Video Description Dataset for Bridging Video and Language0
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