Papers Video Summarization
“Video Summarization” 태그가 달린 논문 309편 · 필터 해제
MEDit-Bench: A Dataset for Evaluating Message-Driven Narrative Video Editing
Video editing is fundamentally message-driven: even from the same source footage, the selected shots change depending on the narrative the editor wishes to convey. Benchmarks for a closely related task, video summarizati…
Video SummarizationScribby: A Multi-Level LLM Framework for Semantic Video Analysis
As video content continues to expand across educational platforms, recorded lectures, and live-streamed entertainment, the need for efficient and structured analysis of long-form footage has increased \cite{1}. Although …
Semantic SimilarityVideo SummarizationFrames2LoRA: Parametric Video Internalization for Vision-Language Models
Processing video in vision-language models is expensive: each frame occupies hundreds of tokens, and inference cost scales with every frame and every repeated query. We introduce Frames2LoRA, a method for parametric vide…
Video Question AnsweringVideo SummarizationA Systematic Evaluation of Positional Bias in Multi-Video Summarization with MLLMs
Multimodal Large Language Models (MLLMs) are increasingly used for video understanding, yet their reliability under multi-video inputs remains poorly understood. We study positional bias in multi-video summarization, whe…
Video SummarizationTowards Reliable Fetal Ultrasound Interpretation with Multi-Agent Collaboration
Automated fetal ultrasound interpretation requires a workflow from visual perception, including plane recognition and anatomical segmentation, to clinical understanding, including biometric measurement and diagnostic rep…
Visual Question AnsweringVideo SummarizationImage CaptioningMultimodal Abstractive Summarization of Instructional Videos with Vision-Language Models
Multimodal video summarization requires visual features that align semantically with language generation. Traditional approaches rely on CNN features trained for object classification, which represent visual concepts as …
Video SummarizationUncertainty-Aware and Decoder-Aligned Learning for Video Summarization
Video summarization aims to produce a compact representation of a long video by selecting a subset of temporally important segments that best reflect human preferences. This task is inherently difficult due to strong ann…
Video SummarizationTRIMMER: A New Paradigm for Video Summarization through Self-Supervised Reinforcement Learning
The rapid growth of video content across domains such as surveillance, education, and social media has made efficient content understanding increasingly critical. Video summarization addresses this challenge by generatin…
Self-Supervised LearningComputational EfficiencyReinforcement LearningVideo SummarizationQEVA: A Reference-Free Evaluation Metric for Narrative Video Summarization with Multimodal Question Answering
Video-to-text summarization remains underexplored in terms of comprehensive evaluation methods. Traditional n-gram overlap-based metrics and recent large language model (LLM)-based approaches depend heavily on human-writ…
Video SummarizationText SummarizationQuestion AnsweringDivide-then-Diagnose: Weaving Clinician-Inspired Contexts for Ultra-Long Capsule Endoscopy Videos
Capsule endoscopy (CE) enables non-invasive gastrointestinal screening, but current CE research remains largely limited to frame-level classification and detection, leaving video-level analysis underexplored. To bridge t…
Video SummarizationLVSum: A Benchmark for Timestamp-Aware Long Video Summarization
Long video summarization presents significant challenges for multimodal large language models (MLLMs), particularly in maintaining temporal fidelity over extended durations and producing summaries that are both semantica…
Video SummarizationLOLGORITHM: Funny Comment Generation Agent For Short Videos
Short-form video platforms have become central to multimedia information dissemination, where comments play a critical role in driving engagement, propagation, and algorithmic feedback. However, existing approaches -- in…
Video ClassificationVideo SummarizationSemantic RetrievalTR-EduVSum: A Turkish-Focused Dataset and Consensus Framework for Educational Video Summarization
This study presents a framework for generating the gold-standard summary fully automatically and reproducibly based on multiple human summaries of Turkish educational videos. Within the scope of the study, a new dataset …
Video SummarizationTripleSumm: Adaptive Triple-Modality Fusion for Video Summarization
The exponential growth of video content necessitates effective video summarization to efficiently extract key information from long videos. However, current approaches struggle to fully comprehend complex videos, primari…
Video SummarizationMovieTeller: Tool-augmented Movie Synopsis with ID Consistent Progressive Abstraction
With the explosive growth of digital entertainment, automated video summarization has become indispensable for applications such as content indexing, personalized recommendation, and efficient media archiving. Automatic …
Video SummarizationFace RecognitionImage CaptioningLess is More: Label-Guided Summarization of Procedural and Instructional Videos
Video summarization helps turn long videos into clear, concise representations that are easier to review, document, and analyze, especially in high-stakes domains like surgical training. Prior work has progressed from us…
Video SummarizationFrom Understanding to Engagement: Personalized pharmacy Video Clips via Vision Language Models (VLMs)
Vision Language Models (VLMs) are poised to revolutionize the digital transformation of pharmacyceutical industry by enabling intelligent, scalable, and automated multi-modality content processing. Traditional manual ann…
Video SummarizationMinimal Clips, Maximum Salience: Long Video Summarization via Key Moment Extraction
Vision-Language Models (VLMs) are able to process increasingly longer videos. Yet, important visual information is easily lost throughout the entire context and missed by VLMs. Also, it is important to design tools that …
Video SummarizationVideo CaptioningLanguage-Guided Graph Representation Learning for Video Summarization
With the rapid growth of video content on social media, video summarization has become a crucial task in multimedia processing. However, existing methods face challenges in capturing global dependencies in video content …
Graph Representation LearningRelational ReasoningVideo SummarizationKVSwap: Disk-aware KV Cache Offloading for Long-Context On-device Inference
Language models (LMs) underpin emerging mobile and embedded AI applications like meeting and video summarization and document analysis, which often require processing multiple long-context inputs. Running an LM locally o…
Video Summarization