NDLI: Perceived Similarity and Visual Descriptions in Content-Based Image Retrieval

Content Provider	IEEE Xplore Digital Library
Author	Zhong, Yuan Ye, Lei Li, Wanqing Ogunbona, Philip
Copyright Year	2007
Abstract	The use of low-level feature descriptors is pervasive in content-based image retrieval tasks and the answer to the question of how well these features describe users' inten- tion is inconclusive. In this paper we devise experiments to gauge the degree of alignment between the description of target images by humans and that implicitly provided by low-level image feature descriptors. Data was collected on how humans perceive similarity in images. Using images judged by humans to be similar, as ground truth, the per- formance of some MPEG-7 visual feature descriptors were evaluated. It is found that various descriptors play different roles in different queries and their appropriate combination can improve the performance of retrieval tasks. This forms a basis for the development of adaptive weight assignment to features depending on the query and retrieval task.
Starting Page	173
Ending Page	180
File Size	901107
Page Count	8
File Format	PDF
ISBN	9780769530840
DOI	10.1109/ISM.Workshops.2007.38
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-10
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Content based retrieval Image databases Conferences Image retrieval Humans MPEG 7 Standard Color Information retrieval Feature extraction Visual perception
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Image Retrieval Based on MPEG-7 Dominant Color Descriptor

An approach for image retrieval based on visual saliency

A new palette histogram similarity measure for MPEG-7 dominant color descriptor

Personalized content based image retrieval

Distance measures for MPEG-7-based retrieval

Color-texture feature extraction using soft decision from the HSV color space

Browsing Texture Image Databases

A Compact and Efficient Color Descriptor for Image Retrieval

Spatial and feature normalization for content-based retrieval

Perceived Similarity and Visual Descriptions in Content-Based Image Retrieval

Similar Documents

Image Retrieval Based on MPEG-7 Dominant Color Descriptor

An approach for image retrieval based on visual saliency

A new palette histogram similarity measure for MPEG-7 dominant color descriptor

Personalized content based image retrieval

Distance measures for MPEG-7-based retrieval

Color-texture feature extraction using soft decision from the HSV color space

Browsing Texture Image Databases

A Compact and Efficient Color Descriptor for Image Retrieval

Spatial and feature normalization for content-based retrieval

Perceived Similarity and Visual Descriptions in Content-Based Image Retrieval