Large Scale Linear Coding for Image Classification

Language: English

Published by LAP LAMBERT Academic Publishing, 2014

365955135X / 9783659551352

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nach der Bestellung gedruckt Neuware - Printed after ordering - Image classification, including object recognition and scene classification, remains to be a major challenge to the computer vision community. As machine can be able to extract information from an image and classify it in order to solve some tasks. Recently SVMs using Spatial Pyramid Matching (SPM) kernel have been highly successful in image classification. Despite its popularity, this technique cannot handle more than thousands of training images. In this paper we develop an extension of the SPM method, by generalizing Vector Quantization to Sparse Coding followed by multi-scale Spatial Max Pooling, and also propose a large scale linear classifier based on Scale Invariant Feature Transform (SIFT) and Sparse Codes. This new adapted algorithm remarkably can handle thousands of training images and classify them into different categories.

Seller Inventory # 9783659551352

Title
Large Scale Linear Coding for Image Classification
Author
Mostafa Labib
Publisher
LAP LAMBERT Academic Publishing
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
365955135X
ISBN 13
9783659551352
Item weight
233 grams
Dimensions
220x150x9 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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