NDLI: Cross-media retrieval by intra-media and inter-media correlation mining

Please wait, while we are loading the content...

Cross-media retrieval by intra-media and inter-media correlation mining

Content Provider	Springer Nature Link
Author	Zhai, Xiaohua Peng, Yuxin Xiao, Jianguo
Copyright Year	2012
Abstract	With the rapid development of multimedia content on the Internet, cross-media retrieval has become a key problem in both research and application. Cross-media retrieval is able to retrieve the results of the same semantics with the query, but with different media types. For instance, given a query image of Moraine Lake, besides retrieving the images about Moraine Lake, cross-media retrieval system can also retrieve the related media contents of different media types such as text description. As a result, measuring content similarity between different media is a challenging problem. In this paper, we propose a novel cross-media similarity measure. It considers both intra-media and inter-media correlation, which are ignored by existing works. Intra-media correlation focuses on semantic category information within each media, while inter-media correlation focuses on positive and negative correlations between different media types. Both of them are very important and their adaptive fusion can complement each other. To mine the intra-media correlation, we propose a heterogeneous similarity measure with nearest neighbors (HSNN). The heterogeneous similarity is obtained by computing the probability for two media objects belonging to the same semantic category. To mine the inter-media correlation, we propose a cross-media correlation propagation (CMCP) approach to simultaneously deal with positive and negative correlation between media objects of different media types, while existing works focus solely on the positive correlation. Negative correlation is very important because it provides effective exclusive information. The correlations are modeled as must-link constraints and cannot-link constraints, respectively. Furthermore, our approach is able to propagate the correlation between heterogeneous modalities. Finally, both HSNN and CMCP are flexible, so that any traditional similarity measure could be incorporated. An effective ranking model is learned by further fusion of multiple similarity measures through AdaRank for cross-media retrieval. The experimental results on two datasets show the effectiveness of our proposed approach, compared with state-of-the-art methods.
Starting Page	395
Ending Page	406
Page Count	12
File Format	PDF
ISSN	09424962
Journal	Multimedia Systems
Volume Number	19
Issue Number	5
e-ISSN	14321882
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2012-12-19
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cross-media retrieval Heterogeneous similarity measure Intra-media correlation Inter-media correlation Multimedia Information Systems Computer Communication Networks Operating Systems Data Storage Representation Data Encryption Computer Graphics
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Media Technology Hardware and Architecture Software

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

Relative image similarity learning with contextual information for Internet cross-media retrieval

Analyzing semantic correlation for cross-modal retrieval

Personalized video similarity measure

Systems and architectures for multimedia information retrieval

Frequency-based similarity measure for multimedia recommender systems

Harvesting microblogs for contextual music similarity estimation: a co-occurrence-based framework

Social media mining and knowledge discovery

A hybrid similarity measure of contents for TV personalization

Toward better retrieval and presentation by exploring cross-media correlations

Cross-media retrieval by intra-media and inter-media correlation mining

Similar Documents

Relative image similarity learning with contextual information for Internet cross-media retrieval

Analyzing semantic correlation for cross-modal retrieval

Personalized video similarity measure

Systems and architectures for multimedia information retrieval

Frequency-based similarity measure for multimedia recommender systems

Harvesting microblogs for contextual music similarity estimation: a co-occurrence-based framework

Social media mining and knowledge discovery

A hybrid similarity measure of contents for TV personalization

Toward better retrieval and presentation by exploring cross-media correlations

Cross-media retrieval by intra-media and inter-media correlation mining