Merged palette histogram relevance feedback for MPEG-7 dominant color descriptor

Ka-Man Wong, Lai-Man Po, Kin-Yeung Chan

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

A Relevance Feedback (RF) technique for improving the effectiveness of content based image retrieval using MPEG-7 Dominant Color Descriptor (DCD) is proposed in this paper. It uses a Merged Palette Histogram (MPH) technique for generating a new query DCD histogram from the relevant image set. The MPH approach can generate a natural query that can represent the selected relevance images. The new method has been implemented on a MPEG-7 XM platform with use of the MPEG-7 Common Color Dataset. The effectiveness of this new MPH-RF technique using different similarity measures is demonstrated by experimental results in the terms of Averaged Normalized Modified Retrieval Rate (ANMRR), computational analysis and visual retrieved images comparison.
Original languageEnglish
Title of host publication2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
Pages177-180
Publication statusPublished - 2004
Event2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004 - Hong Kong, China, Hong Kong, China
Duration: 20 Oct 200422 Oct 2004

Conference

Conference2004 International Symposium on Intelligent Multimedia, Video and Speech Processing, ISIMP 2004
PlaceHong Kong, China
CityHong Kong, China
Period20/10/0422/10/04

Fingerprint

Dive into the research topics of 'Merged palette histogram relevance feedback for MPEG-7 dominant color descriptor'. Together they form a unique fingerprint.

Cite this