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Video Summarization
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Video Summarization aims to generate a short synopsis that summarizes the video content by selecting its most informative and important parts. The produced summary is usually composed of a set of representative video frames (a.k.a. video key-frames), or video fragments (a.k.a. video key-fragments) that have been stitched in chronological order to form a shorter video. The former type of a video summary is known as video storyboard, and the latter type is known as video skim.
Source: Video Summarization Using Deep Neural Networks: A Survey <br> <span style="color:grey; opacity: 0.6">Image credit: iJRASET</span>
논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
MF2Summ: Multimodal Fusion for Video Summarization with Temporal Alignment
Prompts to Summaries: Zero-Shot Language-Guided Video Summarization
Enhancing Video Memorability Prediction with Text-Motion Cross-modal Contrastive Loss and Its Application in Video Summarization
TriPSS: A Tri-Modal Keyframe Extraction Framework Using Perceptual, Structural, and Semantic Representations
Unsupervised Transcript-assisted Video Summarization and Highlight Detection
REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing
SD-VSum: A Method and Dataset for Script-Driven Video Summarization
Video Summarization with Large Language Models
Automatic Detection of Intro and Credits in Video using CLIP and Multihead Attention
FaVChat: Unlocking Fine-Grained Facail Video Understanding with Multimodal Large Language Models
A Novel Trustworthy Video Summarization Algorithm Through a Mixture of LoRA Experts
An Egocentric Vision-Language Model based Portable Real-time Smart Assistant
Parameter-free Video Segmentation for Vision and Language Understanding
CFSum: A Transformer-Based Multi-Modal Video Summarization Framework With Coarse-Fine Fusion
Integrate the temporal scheme for unsupervised video summarization via attention mechanism
Reinforcement Learning for Ultrasound Image Analysis A Comprehensive Review of Advances and Applications
What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentations
FullTransNet: Full Transformer with Local-Global Attention for Video Summarization
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning
Do Language Models Understand Time?
Video Repurposing from User Generated Content: A Large-scale Dataset and Benchmark
Agent-based Video Trimming
Video Summarization using Denoising Diffusion Probabilistic Model
Personalized Video Summarization by Multimodal Video Understanding
Your Interest, Your Summaries: Query-Focused Long Video Summarization
Exploring Efficient Foundational Multi-modal Models for Video Summarization
Video Summarization Techniques: A Comprehensive Review
Realizing Video Summarization from the Path of Language-based Semantic Understanding
Does SpatioTemporal information benefit Two video summarization benchmarks?
EDSNet: Efficient-DSNet for Video Summarization
Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding
Personalized Video Summarization using Text-Based Queries and Conditional Modeling
EgoSonics: Generating Synchronized Audio for Silent Egocentric Videos
Multimodal Language Models for Domain-Specific Procedural Video Summarization
Unsupervised Video Summarization via Reinforcement Learning and a Trained Evaluator
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