Recent Advances In Intelligent Image Search And Video Retrieval: Contributions To The 9th Workshop On Cyclostationary Systems And Their Applications,  by Chengjun LiuRecent Advances In Intelligent Image Search And Video Retrieval: Contributions To The 9th Workshop On Cyclostationary Systems And Their Applications,  by Chengjun Liu

Recent Advances In Intelligent Image Search And Video Retrieval: Contributions To The 9th Workshop…

byChengjun Liu

Hardcover | April 19, 2017

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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 subject identification and retrieval, and performance evaluation methods of video analytics for traffic monitoring. 

Digital images and videos are proliferating at an amazing speed in the fields of science, engineering and technology, media and entertainment. With the huge accumulation of such data, keyword searches and manual annotation schemes may no longer be able to meet the practical demand for retrieving relevant content from images and videos, a challenge this book addresses.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 subject identification and retrieval, and performance evaluation methods of video analytics for traffic monitoring.

Digital images and videos are proliferating at an amazing speed in the fields of science, engineering and technology, media and entertainment. With the huge accumulation of such data, keyword searches and manual annotation schemes may no longer be able to meet the practical demand for retrieving relevant content from images and videos, a challenge this book addresses.

Title:Recent Advances In Intelligent Image Search And Video Retrieval: Contributions To The 9th Workshop…Format:HardcoverDimensions:235 pagesPublished:April 19, 2017Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3319520806

ISBN - 13:9783319520803

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Table of 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 Classiï¬cation.- Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship Veriï¬cation.- Novel Sparse Kernel Manifold Learner for Image Classiï¬cation Applications.- A New Efï¬cient SVM (eSVM) with Applications to Accurate and Efï¬cient Eye Search in Images.- SIFT Features in Multiple Color Spaces for Improved Image Classiï¬cation.- Clothing Analysis for Subject Identiï¬cation and Retrieval.- Performance Evaluation of Video Analytics for Trafï¬c Incident Detection and Vehicle Counts Collection.