CinematicVQA: Benchmarking Film-Grammar Reasoning in Large Vision-Language Models

arXiv:2609.28813 · cs.CV · Submitted 2026-09-23 · Read on arXiv

cs.CV

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Benchmark — 20× in this paper · explained in 2 episodes
• Cinematic Scene Graph — 8× in this paper
• Fine-Tuning — 8× in this paper · explained in 5 episodes
• Multi-hop Reasoning — 5× in this paper · explained in 3 episodes
• Chain-of-Thought Prompting — 4× in this paper · explained in 2 episodes
• Accuracy — 3× in this paper · explained in 1 episode
• Benchmarking — 3× in this paper · explained in 4 episodes
• Grounding — 3× in this paper · explained in 3 episodes
• Hallucination — 3× in this paper · explained in 4 episodes
• Vision-language models — 3× in this paper · explained in 2 episodes
• Chain-of-Thought (CoT) — 2× in this paper · explained in 4 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Semantic Gap — 2× in this paper · explained in 2 episodes
• Chain-of-Thought (CoT) Prompting — 1× in this paper · explained in 3 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Core — 1× in this paper · explained in 2 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Temporal Reasoning — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Video Aesthetic Description Benchmark — 1× in this paper
• Visual Grounding — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• Towards Understanding Camera Motions in Any Video
• CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation
• ShotBench: Expert-Level Cinematic Understanding in Vision-Language Models
• RefineShot: Rethinking Cinematography Understanding with Foundational Skill Evaluation
• VADB: A Large-Scale Video Aesthetic Database with Professional and Multi-Dimensional Annotations
• Qwen2.5-VL Technical Report
• Qwen3-VL Technical Report
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
• Gemini: A Family of Highly Capable Multimodal Models
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• Qwen2 Technical Report
• Qwen3 Technical Report
• Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

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