{"ID":2830617,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2512.09422","arxiv_id":"2512.09422","title":"InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography","abstract":"Echocardiography plays a critical role in the diagnosis and monitoring of cardiovascular diseases as a non-invasive real-time assessment of cardiac structure and function. However, the growing scale of echocardiographic video data presents significant challenges in terms of storage, computation, and model training efficiency. Dataset distillation offers a promising solution by synthesizing a compact, informative subset of data that retains the key clinical features of the original dataset. In this work, we propose a novel approach for distilling a compact synthetic echocardiographic video dataset. Our method leverages motion feature extraction to capture temporal dynamics, followed by class-wise graph construction and representative sample selection using the Infomap algorithm. This enables us to select a diverse and informative subset of synthetic videos that preserves the essential characteristics of the original dataset. We evaluate our approach on the EchoNet-Dynamic datasets and achieve a test accuracy of \\(69.38\\%\\) using only \\(25\\) synthetic videos. These results demonstrate the effectiveness and scalability of our method for medical video dataset distillation.","short_abstract":"Echocardiography plays a critical role in the diagnosis and monitoring of cardiovascular diseases as a non-invasive real-time assessment of cardiac structure and function. However, the growing scale of echocardiographic video data presents significant challenges in terms of storage, computation, and model training effi...","url_abs":"https://arxiv.org/abs/2512.09422","url_pdf":"https://arxiv.org/pdf/2512.09422v2","authors":"[\"Zhe Li\",\"Hadrien Reynaud\",\"Alberto Gomez\",\"Bernhard Kainz\"]","published":"2025-12-10T08:39:25Z","proceeding":"cs.CV","tasks":"[\"cs.CV\"]","methods":"[]","has_code":false}