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Titlebook: Exploration of Visual Data; Xiang Sean Zhou,Yong Rui,Thomas S. Huang Book 2003 Springer Science+Business Media New York 2003 Boosting.Comp

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11#
發(fā)表于 2025-3-23 09:50:03 | 只看該作者
12#
發(fā)表于 2025-3-23 14:00:13 | 只看該作者
13#
發(fā)表于 2025-3-23 20:16:22 | 只看該作者
Mathematics and its ApplicationsWith the ever-increasing amount of digital image and video data along with faster and easier means for information access and exchange, we are facing a pressing demand for intelligent image and video analysis, indexing, retrieval, and delivery systems.
14#
發(fā)表于 2025-3-24 00:44:39 | 只看該作者
,Haushalt — Familie — Hausfamilie,Machine “sees” every pixel in an image, but can it detect, say, . or . in a picture or video? Can it EVER “feel” the emotions or semantics behind?
15#
發(fā)表于 2025-3-24 04:31:03 | 只看該作者
16#
發(fā)表于 2025-3-24 09:25:32 | 只看該作者
17#
發(fā)表于 2025-3-24 11:58:03 | 只看該作者
Joachim Gehringer,Wolfgang RückerContent-based exploration of visual data is a relatively new research area, with many promising future research directions. To extend and continue the research carried out in this book, the emphasis may be put on the following challenging topics
18#
發(fā)表于 2025-3-24 15:27:51 | 只看該作者
19#
發(fā)表于 2025-3-24 22:19:43 | 只看該作者
Overview of Visual Information Representation,Machine “sees” every pixel in an image, but can it detect, say, . or . in a picture or video? Can it EVER “feel” the emotions or semantics behind?
20#
發(fā)表于 2025-3-25 02:28:08 | 只看該作者
Edge-Based Structural Features,In this chapter we propose edge-based structural features for image representation, develop an algorithm for effective extraction of such features, and explore the effectiveness of these features in aiding visual retrieval tasks [229].
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