| 书目名称 | Visual Saliency Computation | | 副标题 | A Machine Learning P | | 编辑 | Jia Li,Wen Gao | | 视频video | | | 概述 | Written to be easily understood by a wide range of readers, from specialists in the field of visual saliency computation to general readers interested in computer science and cognitive psychology.Offe | | 丛书名称 | Lecture Notes in Computer Science | | 图书封面 |  | | 描述 | This book covers fundamental principles and computational approaches relevant to visual saliency computation. As an interdisciplinary problem, visual saliency computation is introduced in this book from an innovative perspective that combines both neurobiology and machine learning. The book is also well-structured to address a wide range of readers, from specialists in the field to general readers interested in computer science and cognitive psychology. With this book, a reader can start from the very basic question of "what is visual saliency?" and progressively explore the problems in detecting salient locations, extracting salient objects, learning prior knowledge, evaluating performance, and using saliency in real-world applications. It is highly expected that this book will spark a great interest of research in the related communities in years to come. | | 出版日期 | Book 2014 | | 关键词 | artificial intelligence; benchmarks; computer vision; human cognition; human vision; image processing; inf | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-05642-5 | | isbn_softcover | 978-3-319-05641-8 | | isbn_ebook | 978-3-319-05642-5Series ISSN 0302-9743 Series E-ISSN 1611-3349 | | issn_series | 0302-9743 | | copyright | Springer International Publishing Switzerland 2014 |
The information of publication is updating
|
|
发表于 2025-3-21 17:14:57
