InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography
Li Z, Reynaud H, Gomez A, Kainz B (2026)
Publication Type: Conference contribution
Publication year: 2026
Journal
Publisher: Springer Science and Business Media Deutschland GmbH
Book Volume: 1520 LNEE
Pages Range: 35-45
Conference Proceedings Title: Lecture Notes in Electrical Engineering
Event location: London, GBR
ISBN: 9789819574247
DOI: 10.1007/978-981-95-7425-4_4
Abstract
Echocardiography playing 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.
Authors with CRIS profile
Zhe Li
Professur für Image Data Exploration and Analysis
Hadrien Jean-Francois Reynaud
Bernhard Kainz Professur für Image Data Exploration and Analysis
Bernhard Kainz Professur für Image Data Exploration and Analysis
Involved external institutions
Imperial College London / The Imperial College of Science, Technology and Medicine
United Kingdom (GB)
Ultromics Ltd.
United Kingdom (GB)
United Kingdom (GB)
Ultromics Ltd.
United Kingdom (GB)
How to cite
APA:
Li, Z., Reynaud, H., Gomez, A., & Kainz, B. (2026). InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography. In Ruidan Su, Yudong Zhang, Alejandro F. Frangi (Eds.), Lecture Notes in Electrical Engineering (pp. 35-45). London, GBR: Springer Science and Business Media Deutschland GmbH.
MLA:
Li, Zhe, et al. "InfoMotion: A Graph-Based Approach to Video Dataset Distillation for Echocardiography." Proceedings of the 6th International Conference on Medical Imaging and Computer-Aided Diagnosis, MICAD 2025, London, GBR Ed. Ruidan Su, Yudong Zhang, Alejandro F. Frangi, Springer Science and Business Media Deutschland GmbH, 2026. 35-45.
BibTeX: Download