| --- |
| license: cc-by-nc-sa-4.0 |
| base_model: Qwen/Qwen3.5-9B |
| pipeline_tag: video-classification |
| library_name: transformers |
| language: |
| - en |
| - zh |
| tags: |
| - camera-motion |
| - video-understanding |
| - cinematography |
| - video-classification |
| - lora |
| extra_gated_heading: 申請取用 · Request access |
| extra_gated_prompt: |- |
| 研究用 checkpoint，僅供**非商業研究**（CC-BY-NC-SA-4.0），逐個人工審批。 |
| 本倉庫**不含任何視頻或幀**。方法細節、評測結果與使用說明隨倉庫文件一併提供，審核通過後可見。 |
| |
| Research checkpoint for **non-commercial research only** (CC-BY-NC-SA-4.0), approved |
| manually. **No video or frames are included.** Method details, evaluation results and |
| usage instructions ship with the repository files and are visible once approved. |
| extra_gated_fields: |
| 姓名 Full name: text |
| 所屬機構 Affiliation: text |
| 用途說明 Intended use: text |
| 我僅用於非商業研究 Non-commercial research only: checkbox |
| extra_gated_button_content: 申請取用 Request access |
| --- |
| |
| # CameraJev-9B — camera-motion recognition |
|
|
| **English** · [简体中文](README.zh-CN.md) · [繁體中文](README.zh-HK.md) |
|
|
| CameraJev-9B recognises **how the camera moves** in a video — pan, tilt, truck, pedestal, |
| dolly, zoom, roll, arc, tracking, static. |
|
|
| It is built for **scale**: the model is designed to run over large video corpora rather than |
| a handful of clips, and it holds up on **real film footage**, which is where camera-motion |
| recognition is hardest. |
|
|
| Evaluated on the standard public camera-motion benchmarks. **Quantitative results, the |
| method, and runnable inference code are in the repository and become available once your |
| access request is approved** — this work is not yet published, so the public card is kept |
| brief. |
|
|
| ## What you get |
|
|
| A LoRA checkpoint over `Qwen/Qwen3.5-9B`, the model code needed to load it, and inference |
| scripts. **No video, frames or training data are included.** |
|
|
| ## Access |
|
|
| Click **Request access** on this page and complete the form. Requests are reviewed |
| individually. |
|
|
| ## Licence and credit |
|
|
| - **Licence:** CC-BY-NC-SA-4.0 — non-commercial research only. |
| - **Base model:** [`Qwen/Qwen3.5-9B`](https://huggingface.co/Qwen/Qwen3.5-9B) (Apache-2.0), not redistributed here. |
| - **Model code** under `videojev_code/` derives from **VideoJev** ([`ZhuYuhan/VideoJev-4B`](https://huggingface.co/ZhuYuhan/VideoJev-4B), Apache-2.0); its `LICENSE` and `NOTICE` are retained in that directory. |
|
|
| ```bibtex |
| @misc{qwen3, |
| title = {Qwen3 Technical Report}, |
| author = {{Qwen Team}}, |
| year = {2025}, |
| eprint = {2505.09388}, |
| archivePrefix = {arXiv} |
| } |
| ``` |
|
|
| ## Citation |
|
|
| If you use this repository, please cite it. The upstream works credited above |
| should be cited as well. |
|
|
| ```bibtex |
| @misc{lin2026camerajev9b, |
| author = {Zeteng Lin and Jing Tang}, |
| title = {CameraJev-9B: camera-motion recognition}, |
| year = {2026}, |
| howpublished = {\url{https://huggingface.co/Zeteng/CameraJev-9B}} |
| } |
| ``` |
|
|
