| 書目名稱 | Visual Saliency: From Pixel-Level to Object-Level Analysis | | 編輯 | Jianming Zhang,Filip Malmberg,Stan Sclaroff | | 視頻video | http://file.papertrans.cn/984/983783/983783.mp4 | | 概述 | This book includes efficient algorithms based on image distance transforms for two pixel-level saliency tasks as well as applications in salient object detection and eye fixation prediction..Also incl | | 圖書封面 |  | | 描述 | This book provides an introduction to recent advances in theory, algorithms and application of Boolean map distance for image processing. Applications include modeling what humans find salient or prominent in an image, and then using this for guiding smart image cropping, selective image filtering, image segmentation, image matting, etc..In ?this ?book,the authors presentmethods forbothtraditional andemerging saliency computation tasks, ranging from classical low-level tasks like pixel-level saliency detection to object-level tasks such as subitizing and salient objectdetection.Forlow-leveltasks,the authorsfocusonpixel-levelimage processing approaches based on efficient distance transform. For object-level tasks, the authors propose data-driven methods using deep convolutional neural networks. The book includes both empirical and theoretical studies, together with implementation details of the proposed methods. Below are the key features fordifferent types of readers.. .For computer vision and image processing practitioners:.Efficient algorithms based on image distance transforms for two pixel-level saliency tasks;.Promising deep learning techniques for two novel object-level salie | | 出版日期 | Book 2019 | | 關(guān)鍵詞 | Boolean Map Distance; Saliency; Salient Object Detection; Eye Fixation Prediction; Discrete Computationa | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-04831-0 | | isbn_softcover | 978-3-030-04830-3 | | isbn_ebook | 978-3-030-04831-0 | | copyright | Springer Nature Switzerland AG 2019 |
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