Recent Advances in Intelligent Image Search and Video Retrieval
โ Scribed by Liu, Chengjun
- Publisher
- Springer International Publishing
- Year
- 2017;2018
- Tongue
- English
- Leaves
- 246
- Series
- Intelligent Systems Reference Library 121
- Edition
- 1st edition
- Category
- Library
No coin nor oath required. For personal study only.
โฆ 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 Classification.- Inheritable Color Space (InCS) and Generalized InCS Framework with Applications to Kinship Verification.- Novel Sparse Kernel Manifold Learner for Image Classification Applications.- A New Efficient SVM (eSVM) with Applications to Accurate and Efficient Eye Search in Images.- SIFT Features in Multiple Color Spaces for Improved Image Classification.- Clothing Analysis for Subject Identification and Retrieval.- Performance Evaluation of Video Analytics for Traffic Incident Detection and Vehicle Counts Collection.
โฆ Subjects
(BIC subject category)UYQ;(BIC subject category)UYT;(BISAC Subject Heading)COM004000;(BISAC Subject Heading)COM012000;(BISAC Subject Heading)UYQ;(Produktform)Paperback / softback;(Springer Nature Marketing Classification)C;(Springer Nature Subject Code)SCI21017: Artificial Intelligence (incl. Robotics);(Springer Nature Subject Code)SCI22021: Image Processing and Computer Vision;(Springer Nature Subject Code)SCT11014: Computational Intelligence;(Springer Nature Subject Collection)SUCO11647: Engin
๐ SIMILAR VOLUMES
<p><p>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 ass
<p><span>This book provides the readers with a comprehensive overview of principles methodologies and recent advances in image, signal, and video processing using different system. This book is used as the handbook of postgraduates course, such as image processing, signal processing, and optical inf
<p>The Center for Intelligent Information Retrieval (CIIR) was formed in the Computer Science Department ofthe University ofMassachusetts, Amherst in 1992. The core support for the Center came from a National Science Foun- tion State/Industry/University Cooperative Research Center(S/IUCRC) grant, al
<p><em>Intelligent Image Databases: Towards Advanced Image Retrieval</em> addresses the image feature selection issue in developing content-based image retrieval systems. The book first discusses the four important issues in developing a complete content-based image retrieval system, and then demons