Where to Focus: Query-Modulated Multimodal Keyframe Selection for Long Video Understanding

arXiv:2604.17422 · cs.CV, cs.MM · Submitted 2026-04-19 · Read on arXiv

cs.CV, cs.MM

Submitted: 2026-04-19

Updated: 2026-09-25

Terminology

• Grounding — 26× in this paper · explained in 3 episodes
• Alignment — 19× in this paper · explained in 1 episode
• Visual Grounding — 15× in this paper · explained in 2 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Accuracy — 8× in this paper · explained in 1 episode
• Verification — 5× in this paper · explained in 2 episodes
• Ablation — 4× in this paper · explained in 1 episode
• Robustness — 4× in this paper · explained in 5 episodes
• Transformer — 4× in this paper · explained in 2 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Training-Free Framework — 3× in this paper · explained in 2 episodes
• Ablation Studies — 2× in this paper · explained in 1 episode
• Ablation study — 2× in this paper · explained in 1 episode
• Adaptive Partitioning — 2× in this paper · explained in 1 episode
• Attention Mechanism — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Interpretability — 2× in this paper · explained in 15 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adaptability — 1× in this paper · explained in 1 episode
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Dynamic Gating Mechanism — 1× in this paper · explained in 2 episodes
• Dynamic Weighting — 1× in this paper · explained in 3 episodes
• Elias — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Late Fusion — 1× in this paper · explained in 2 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• Vision-Language Models (VLMs) — 1× in this paper · explained in 6 episodes

Sources

• LLaMA: Open and Efficient Foundation Language Models
• Less is More: Token-Efficient Video-QA via Adaptive Frame-Pruning and Semantic Graph Integration
• Qwen3 Technical Report
• Frame-Voyager: Learning to Query Frames for Video Large Language Models
• FOCUS: Efficient Keyframe Selection for Long Video Understanding
• Longformer: The Long-Document Transformer
• Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?
• Logic-in-Frames: Dynamic Keyframe Search via Visual Semantic-Logical Verification for Long Video Understanding
• GPT-4o System Card
• LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
• Ring Attention with Blockwise Transformers for Near-Infinite Context
• Too Many Frames, Not All Useful: Efficient Strategies for Long-Form Video QA

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