agent/papers/items/2026-2606-23327-videoagent-all-in-one-framework-for-video-understanding-and-editing.md

Paper: VideoAgent: All-in-One Framework for Video Understanding and Editing

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type: paper title: "VideoAgent: All-in-One Framework for Video Understanding and Editing" authors: Hengji Zhou, Lingxuan Huang, Jian Wang, Bing Zhou, Si Wu, Lianghao Xia, Chao Huang year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.23327 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-06-22 updated_at: 2026-07-03 status: queued relevance: high topics:

• agent-evaluation
• multi-agent
• planning
• rag
• tool-use methods:

benchmarks:

models:

datasets:

• cs.CV
• cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 16 collection_queries: multi-agent-llm

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: multi-agent-llm
• inferred topics: agent-evaluation, multi-agent, planning, rag, tool-use
• arXiv categories: cs.CV, cs.AI
• collection score: 16

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2606.23327