{"ID":5551757,"CreatedAt":"2026-07-02T01:54:51.863792489Z","UpdatedAt":"2026-07-04T10:26:15.620458842Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.00748","arxiv_id":"2607.00748","title":"FrameONE: Hierarchical Motion Modeling for Universal Multi-View Echocardiographic Keyframe Detection","abstract":"Accurate detection of end-systole (ES) and end-diastole (ED) frames is fundamental to echocardiographic assessment. Existing methods are typically developed in a view-specific manner, depend on auxiliary annotations or intensive visual modeling, which limits their generalizability. In multi-view modeling, keyframe detection is driven by shared cardiac motion, yet large appearance differences and motion patterns make unified modeling challenging. To address these issues, we propose FrameONE, a unified end-to-end framework for multi-view echocardiographic keyframe detection. FrameONE introduces a Hierarchical Motion Modeling strategy: an intra-view multi-task learning reduces appearance bias and promotes motion-focused representations within each view; an inter-view general motion learning module further separates view-agnostic dynamics from view-specific patterns, enabling shared yet flexible motion representation learning across views. Extensive experiments on 25,872 videos spanning four standard views demonstrate that FrameONE achieves state-of-the-art keyframe detection accuracy with strong cross-view generalization. Code is available at https://github.com/szuboy/FrameONE.","short_abstract":"Accurate detection of end-systole (ES) and end-diastole (ED) frames is fundamental to echocardiographic assessment. Existing methods are typically developed in a view-specific manner, depend on auxiliary annotations or intensive visual modeling, which limits their generalizability. In multi-view modeling, keyframe dete...","url_abs":"https://arxiv.org/abs/2607.00748","url_pdf":"https://arxiv.org/pdf/2607.00748v1","authors":"[\"Rusi Chen\",\"Yuhao Huang\",\"Hongyuan Zhang\",\"Chao Tian\",\"Shunan Ji\",\"Yuhan Zhang\",\"Dong Ni\"]","published":"2026-07-01T10:31:49Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false,"code_links":[{"ID":613838,"CreatedAt":"2026-07-02T01:54:51.863792489Z","UpdatedAt":"2026-07-02T01:54:51.863792489Z","DeletedAt":null,"paper_id":5551757,"paper_url":"https://arxiv.org/abs/2607.00748","paper_title":"FrameONE: Hierarchical Motion Modeling for Universal Multi-View Echocardiographic Keyframe Detection","repo_url":"https://github.com/szuboy/FrameONE","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}