film-analysis

AI 辅助的电影拉片工具：AI 拆出剧情泳道时间轴、结构树、情绪曲线，边播边写拉片笔记，免费开源全本地 | AI-assisted film breakdown notebook: story-lane timeline, structure tree, emotion curve. Free, open source, fully local.

Hitfilm Core

Does your favorite film pass the test?

AI 辅助影视分析平台 — 上传视频，自动检测镜头切换，逐镜提取景别、运镜、构图、色彩、叙事等专业信息。不负责指导部署，有问题用AI辅助解决。

Cinema Hd Elite

A shiny app for extracting and visualizing colour data from movie barcodes. Now available as an executable file for Windows.

subtitle-based film similarities

积米律动 Kimidance — AI 拉片工具：输入短剧/长视频，自动输出文学剧本、叙事节奏分析、分镜速查表，台词零篡改。官网源码与公开介绍。

电影拆解 · 深度影评分析 | 结构化拆解导演意图、视听语言、叙事结构、母题符号与关键场景（9 大块模板）

A complete project analyzing 250+ top-rated Indian movies (1955–2024) using real-world IMDb data. This project combines Python (Pandas, NumPy) and Power BI to uncover audience preferences, industry contributions, top genres, and trend shifts across decades.

A minimal, structured data format for film analysis. One JSON schema for shots, scenes, dialogue, and cinematography.

Machine learning analysis of classic cinema (1915–1960) using reproducible notebooks, clustering, NLP, and trend exploration.

A local macOS app for film structure analysis. Deconstructs films into 6 time-series curves (Pace, Sound, Color, Info, Face, Arousal) to locate structural disagreements, not score taste.

电影学理论研究与RAG知识库构建项目 | Film Theory Research & RAG Knowledge Base

A production-grade visual content design system for deconstructing films, photographers and artists. 视觉辞典 · 审美情报局.

In this project, I performed an in-depth analysis of historical Oscar data using advanced PostgreSQL queries to compare film efficiency and identify rare cinematic achievements like the "Big Five" winners.

A Social Semiotic Survey and Aesthetic Algorithmic Analysis of Film Fizzog.

Unfiltered reviews for TV shows and movies that think they’re deeper than they are. Pop culture gets dragged, praised, or politely side-eyed — depending on how much caffeine I’ve had. If you’re looking for chill, it’s not here.

影片分析·两小时速通:北大「影片分析」课的个人复习静态站(图文教学+交互测验)。纯静态自包含,可在线访问。

Quantitative keyness analysis of transcribed dialogues from NS entertainment films (1936–1945) across three discourse phases