Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/19314
Title: Neural network-based intelligent image analysis
Authors: Liew, Chiat Loon.
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications
Issue Date: 2009
Abstract: In recent times, the use of digital cameras and mobile phones has been growing and this inexorably leads to a significant rise in the number of digital images. These diverse sources of images make the task of managing online image databases challenging. With broadband network becoming ubiquitous, searching through online image database will have to be efficacious as the usual practice of tagging thousands of images and searching manually are both unrealistic and time-consuming. Content based image retrieval (CBIR) has become increasingly popular with numerous researches being done in this field. CBIR could be the key to solving the problem of manual image retrieval or the need to use text annotation on images. The main goal of a CBIR system is to identify closely matched images and return them to the user accurately in the shortest possible time.
URI: http://hdl.handle.net/10356/19314
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

Files in This Item:
File Description SizeFormat 
LiewChiatLoon09.pdf
  Restricted Access
1.22 MBAdobe PDFView/Open

Page view(s)

294
Updated on Nov 25, 2020

Download(s)

8
Updated on Nov 25, 2020

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.