| 書目名稱 | Visual Content Indexing and Retrieval with Psycho-Visual Models |
| 編輯 | Jenny Benois-Pineau,Patrick Le Callet |
| 視頻video | http://file.papertrans.cn/984/983702/983702.mp4 |
| 概述 | Provides a wide spread of visual tasks such as texture recognition, image retrieval, action recognition, content visualization and detection of visual digital content.Presents classical indexing model |
| 叢書名稱 | Multimedia Systems and Applications |
| 圖書封面 |  |
| 描述 | .This book provides a deep analysis and wide coverage of the very strong trend in computer vision and visual indexing and retrieval, covering such topics as incorporation of models of Human Visual attention into analysis and retrieval tasks. It makes the bridge between psycho-visual modelling of Human Visual System and the classical and most recent models in visual content indexing and retrieval...The large spectrum of visual tasks, such as recognition of textures in static images, of actions in video content, image retrieval, different methods of visualization of images and multimedia content based on visual saliency are presented by the authors. Furthermore, the interest in visual content is modelled with the means of the latest classification models such as Deep Neural Networks is also covered in this book..This book is an exceptional resource as a secondary text for researchers and advanced level students, who are involved in the very wide research in computer vision,visual information indexing and retrieval. Professionals working in this field will also be interested in this book as a reference.. |
| 出版日期 | Book 2017 |
| 關(guān)鍵詞 | Visual attention modeling; Selection of relevant features; Interestingness of the content; Machine lear |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-57687-9 |
| isbn_softcover | 978-3-319-86224-8 |
| isbn_ebook | 978-3-319-57687-9Series ISSN 1568-2358 Series E-ISSN 2945-5715 |
| issn_series | 1568-2358 |
| copyright | Springer International Publishing AG 2017 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-8 05:39
發(fā)表于 2025-3-21 16:45:45
