{"product_id":"advances-in-spatio-temporal-segmentation-of-visual-data-9783030354800","title":"Advances in Spatio-Temporal Segmentation of Visual Data","description":"\u003cp\u003eThis book proposes a number of promising models and methods for adaptive segmentation, swarm partition, permissible segmentation, and transform properties, as well as techniques for spatio-temporal video segmentation and interpretation, online fuzzy clustering of data streams, and fuzzy systems for information retrieval. The main focus is on the spatio-temporal segmentation of visual information.  Sets of meaningful and manageable image or video parts, defined by visual interest or attention to higher-level semantic issues, are often vital to the efficient and effective processing and interpretation of viewable information. Developing robust methods for spatial and temporal partition represents a key challenge in computer vision and computational intelligence as a whole. This book is intended for students and researchers in the fields of machine learning and artificial intelligence, especially those whose work involves image processing and recognition, video parsing, and content-based image\/video retrieval.\u003c\/p\u003e","brand":"Gardners","offers":[{"title":"Default Title","offer_id":52911169339671,"sku":null,"price":12080.49,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0679\/6918\/8119\/files\/9783030354800.jpg?v=1781262293","url":"https:\/\/payment.letskitaboo.com\/ur\/products\/advances-in-spatio-temporal-segmentation-of-visual-data-9783030354800","provider":"Kitaboo One eStore","version":"1.0","type":"link"}