Product Title: Content Based Image Retrieval Using Semantic Visual Categories
Updated from Personify: 2012-12-18
Personify Product Code: TP01PUB112
Personify Product ID: 126070
Personify Shopping Cart URL:
Small Image:
Large Image:
Author: Christopher Town, David Sinclair
Editor:
Subtitle:
Published By:
Copyright Year:
Published Date: 2001-01-10
Page Count: 15
Binding Type:
Product Type:
TECHPAPER
ISBN:
Member Price:
Non-Member Price:
Description:
This paper demonstrates an approach to content-based image retrieval founded on the semantically meaningful labeling of images by high-level visual categories. The image labeling is achieved through a set of trained neural network classifiers operating on segmented image regions. It is argued that the semantic terms give a good estimate of the salient features important for discrimination in image retrieval. Furthermore, it is shown that the choice of visual categories such as grass or sky that mirror human perception allows the implementation of intuitive and versatile query composition interfaces and a variety of image similarity metrics. Authors: Christopher Town, David Sinclair, AT&T Laboratories, Cambridge, UK.
Table of Contents:
Other Related Content (Sample Chapters, etc.):
Related Products (Cross Sell):
Related Products IDs (Personify):
Publication URL (for ECD and other linked products)
Script
Sample Chapters
TOC
Study Guide
DVD Outline
Produced By
Video Length:
UPC:
Edition: 0
Volume: 0