NDLI: Image retrieval via improved relevance ranking

Content Provider	IEEE Xplore Digital Library
Author	Chen Lingling Zhu Songhao Li Zhuofan Hu Juanjuan
Copyright Year	2014
Description	Author affiliation: Sch. of Autom., Nanjing Univ. of Post & Telecommun., Nanjing, China (Chen Lingling; Zhu Songhao; Li Zhuofan; Hu Juanjuan)
Abstract	Recent years have witnessed the success of many online social media websites. Social images are usually associated with user-provided descriptors called tags, and thus tag-based search can be easily accomplished by using the descriptors as index terms. However, the existing methods frequently return results that are irrelevant or noisy with low-quality. It is argued that the relevance and quality are two important measures for a user friendly summarizing the returned images. In this paper, we propose a relevance-quality ranking method considering both image relevance and image quality. First, a relevance-based ranking scheme is utilized to automatically rank images according to their relevance to the query tag, which reckons the relevance scores based on both the visual similarity of images and the semantic consistency of associated tags. Then, quality scores are added to the candidate ranking list to accomplish the relevance-quality based ranking. Experimental results on NUS-WIDE image collection demonstrate the effectiveness of the proposed approach.
Starting Page	4620
Ending Page	4625
File Size	300041
Page Count	6
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6895717
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Wavelet transforms Visualization Histograms image quality Tag-based image retrieval visual similarity Image color analysis semantic consistency Semantics Image retrieval Feature extraction relevance ranking
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

Relevance-quality ranking based image retrieval

An improved content based image retreival

Extraction and Management of Semantic Information from Visual Data

Image Retrieval Based on Relevance-Quality Ranking

Semantic classification based clothing image retrieval

Dynamic hierarchical semantic network based image retrieval using relevance feedback

Semantic Image Retrieval by Combining Color, Texture and Shape Features

Boosting retrieval efficiency with image replacement based relevance feedback

Efficient multi-nodes image retrieval method based on visual words

Image retrieval via improved relevance ranking

Similar Documents

Relevance-quality ranking based image retrieval

An improved content based image retreival

Extraction and Management of Semantic Information from Visual Data

Image Retrieval Based on Relevance-Quality Ranking

Semantic classification based clothing image retrieval

Dynamic hierarchical semantic network based image retrieval using relevance feedback

Semantic Image Retrieval by Combining Color, Texture and Shape Features

Boosting retrieval efficiency with image replacement based relevance feedback

Efficient multi-nodes image retrieval method based on visual words

Image retrieval via improved relevance ranking