{"product_id":"visual-attributes-9783319500751","title":"Visual Attributes","description":"\u003cp\u003e • Author(s): Rogerio Schmidt Feris\u003cbr\u003e • Publisher: Springer\u003cbr\u003e • Publisher Imprint: Springer\u003cbr\u003e • BISAC: Software Development \u0026amp; Engineering - Computer Graphics\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFrom the Back Cover\u003c\/b\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis unique text\/reference provides a detailed overview of the latest advances in machine learning and computer vision related to visual attributes, highlighting how this emerging field intersects with other disciplines, such as computational linguistics and human-machine interaction.\u003c\/p\u003e \u003cp\u003e\u003cb\u003eTopics and features: \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePresents attribute-based methods for zero-shot classification, learning using privileged information, and methods for multi-task attribute learning\u003c\/li\u003e\n\u003cli\u003eDescribes the concept of relative attributes, and examines the effectiveness of modeling relative attributes in image search applications\u003c\/li\u003e\n\u003cli\u003eReviews state-of-the-art methods for estimation of human attributes, and describes their use in a range of different applications\u003c\/li\u003e\n\u003cli\u003eDiscusses attempts to build a vocabulary of visual attributes\u003c\/li\u003e\n\u003cli\u003eExplores the connections between visual attributes and natural language\u003c\/li\u003e\n\u003cli\u003eProvides contributions from an international selection of world-renowned scientists, covering both theoretical aspects of visual attribute learning and practical computer vision applications\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003eThis authoritative work is a must-read for all researchers interested in recognizing visual attributes and using them in real-world applications, and is accessible to the wider research community in visual and semantic understanding.\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e \u003cp\u003e\u003cb\u003eDr. Rogerio Schmidt Feris\u003c\/b\u003e is a manager at IBM T.J. Watson Research Center, New York, USA, where he leads research in computer vision and machine learning. \u003cb\u003eDr. Christoph H. Lampert\u003c\/b\u003e is a professor at the Institute of Science and Technology Austria, where he serves as the Principal Investigator of the Computer Vision and Machine Learning Group. \u003cb\u003eDr. Devi Parikh\u003c\/b\u003e is an assistant professor in the School of Interactive Computing at Georgia Tech, USA, where she leads the Computer Vision Lab.\u003cbr\u003e\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Hardcover","offer_id":45277071868055,"sku":"9783319500751","price":7345.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9783319500751.webp?v=1769287410","url":"https:\/\/atlanticbooks.com\/products\/visual-attributes-9783319500751","provider":"Atlantic Books","version":"1.0","type":"link"}