Screen LibraryRecent Advances in Intelligent Image Search and Video Retrieval /
This book initially reviews the major feature representation and extraction methods and effective learning and recognition approaches, which have broad applications in the context of intelligent image search and video retrieval. It subsequently presents novel methods, such as improved soft assignmen...
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| Corporate Authors: | |
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| Group Author: | |
| Published: |
Springer International Publishing : Imprint: Springer,
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| Publisher Address: | Cham : |
| Publication Dates: | 2017. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Intelligent Systems Reference Library,
121 |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-319-52081-0 |
| Summary: |
This book initially reviews the major feature representation and extraction methods and effective learning and recognition approaches, which have broad applications in the context of intelligent image search and video retrieval. It subsequently presents novel methods, such as improved soft assignment coding, Inheritable Color Space (InCS) and the Generalized InCS framework, the sparse kernel manifold learner method, the efficient Support Vector Machine (eSVM), and the Scale-Invariant Feature Transform (SIFT) features in multiple color spaces. Lastly, the book presents clothing analysis for s |
| Carrier Form: | 1 online resource (XVII, 235 pages): illustrations. |
| ISBN: | 9783319520810 |
| Index Number: | Q342 |
| CLC: | TP18 |
| Contents: | Feature Representation and Extraction for Image Search and Video Retrieval -- Learning and Recognition Methods for Image Search and Video Retrieval -- Improved Soft Assignment Coding for Image Classi cation -- Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship Veri cation -- Novel Sparse Kernel Manifold Learner for Image Classi cation Applications -- A New Ef cient SVM (eSVM) with Applications to Accurate and Ef cient Eye Search in Images -- SIFT Features in Multiple Color Spaces for Improved Image Classi cation -- Clothing Analysis for Subject Identi |