Copertina

VideoScan: Enabling Efficient Streaming Video Understanding via Frame-level Semantic Carriers

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Li, Ruanjun, Tan, Yuedong, Shi, Yuanming, Shao, Jiawei
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

What You Have is What You Track: Adaptive and Robust Multimodal Tracking
di: Tan, Yuedong, et al.
Pubblicazione: (2025)

StreamingTOM: Streaming Token Compression for Efficient Video Understanding
di: Chen, Xueyi, et al.
Pubblicazione: (2025)

An Efficient Streaming Video Understanding Framework with Agentic Control
di: Liu, Jinming, et al.
Pubblicazione: (2026)

Video Compression Meets Video Generation: Latent Inter-Frame Pruning with Attention Recovery
di: Menn, Dennis, et al.
Pubblicazione: (2026)

GIFT: Global Irreplaceability Frame Targeting for Efficient Video Understanding
di: Ma, Junpeng, et al.
Pubblicazione: (2026)

CurveStream: Boosting Streaming Video Understanding in MLLMs via Curvature-Aware Hierarchical Visual Memory Management
di: Wang, Chao, et al.
Pubblicazione: (2026)

WeaveTime: Stream from Earlier Frames into Emergent Memory in VideoLLMs
di: Zhang, Yulin, et al.
Pubblicazione: (2026)

StreamOV: Streaming Omni-Video Understanding via Evidence-Guided Memory and Response Triggering
di: Xie, Ming, et al.
Pubblicazione: (2026)

Wavelet-based Frame Selection by Detecting Semantic Boundary for Long Video Understanding
di: Chen, Wang, et al.
Pubblicazione: (2026)

M-LLM Based Video Frame Selection for Efficient Video Understanding
di: Hu, Kai, et al.
Pubblicazione: (2025)

StreamForest: Efficient Online Video Understanding with Persistent Event Memory
di: Zeng, Xiangyu, et al.
Pubblicazione: (2025)

StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding
di: Wang, Junxi, et al.
Pubblicazione: (2026)

LiveVLM: Efficient Online Video Understanding via Streaming-Oriented KV Cache and Retrieval
di: Ning, Zhenyu, et al.
Pubblicazione: (2025)

Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning
di: Ghazanfari, Sara, et al.
Pubblicazione: (2025)

Frame by Familiar Frame: Understanding Replication in Video Diffusion Models
di: Rahman, Aimon, et al.
Pubblicazione: (2024)

Making Every Frame Matter: Continuous Activity Recognition in Streaming Video via Adaptive Video Context Modeling
di: Wu, Hao, et al.
Pubblicazione: (2024)

StreamEQA: Towards Streaming Video Understanding for Embodied Scenarios
di: Wang, Yifei, et al.
Pubblicazione: (2025)

ESOM: Efficiently Understanding Streaming Video Anomalies with Open-world Dynamic Definitions
di: Liu, Zihao, et al.
Pubblicazione: (2026)

AURA: Always-On Understanding and Real-Time Assistance via Video Streams
di: Lu, Xudong, et al.
Pubblicazione: (2026)

Shot-Aware Frame Sampling for Video Understanding
di: Zhao, Mengyu, et al.
Pubblicazione: (2026)

Flash-VStream: Efficient Real-Time Understanding for Long Video Streams
di: Zhang, Haoji, et al.
Pubblicazione: (2025)

Semantic-Aware Adaptive Visual Memory for Streaming Video Understanding
di: Wu, Hang, et al.
Pubblicazione: (2026)

LADDER: An Efficient Framework for Video Frame Interpolation
di: Shen, Tong, et al.
Pubblicazione: (2024)

Less is More: Token-Efficient Video-QA via Adaptive Frame-Pruning and Semantic Graph Integration
di: Wang, Shaoguang, et al.
Pubblicazione: (2025)

Generative Frame Sampler for Long Video Understanding
di: Yao, Linli, et al.
Pubblicazione: (2025)

Improving LLM Video Understanding with 16 Frames Per Second
di: Li, Yixuan, et al.
Pubblicazione: (2025)

StreamAgent: Towards Anticipatory Agents for Streaming Video Understanding
di: Yang, Haolin, et al.
Pubblicazione: (2025)

Think-Clip-Sample: Slow-Fast Frame Selection for Video Understanding
di: Tan, Wenhui, et al.
Pubblicazione: (2026)

CacheFlow: Compressive Streaming Memory for Efficient Long-Form Video Understanding
di: Patel, Shrenik, et al.
Pubblicazione: (2025)

Learning Streaming Video Representation via Multitask Training
di: Yan, Yibin, et al.
Pubblicazione: (2025)

Memory-efficient Streaming VideoLLMs for Real-time Procedural Video Understanding
di: Chatterjee, Dibyadip, et al.
Pubblicazione: (2025)

An LMM for Efficient Video Understanding via Reinforced Compression of Video Cubes
di: Qi, Ji, et al.
Pubblicazione: (2025)

Towards Long Video Understanding via Fine-detailed Video Story Generation
di: You, Zeng, et al.
Pubblicazione: (2024)

Memory Consolidation Enables Long-Context Video Understanding
di: Balažević, Ivana, et al.
Pubblicazione: (2024)

HiStream: Efficient High-Resolution Video Generation via Redundancy-Eliminated Streaming
di: Qiu, Haonan, et al.
Pubblicazione: (2025)

VideoMamba: State Space Model for Efficient Video Understanding
di: Li, Kunchang, et al.
Pubblicazione: (2024)

Streaming Long Video Understanding with Large Language Models
di: Qian, Rui, et al.
Pubblicazione: (2024)

Event-Anchored Frame Selection for Effective Long-Video Understanding
di: Chen, Wang, et al.
Pubblicazione: (2026)

Video Understanding: From Geometry and Semantics to Unified Models
di: An, Zhaochong, et al.
Pubblicazione: (2026)

Omni-Video: Democratizing Unified Video Understanding and Generation
di: Tan, Zhiyu, et al.
Pubblicazione: (2025)