NDLI: Semi-supervised distance metric learning for collaborative image retrieval and clustering

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ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 10

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 9

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 8

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 7

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 7S

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 6

Issue 4, November 2010

Issue 3, August 2010

Introduction to the best papers of ACM multimedia 2009

Visual query suggestion: Towards capturing user intent in internet image search

Audio-visual atoms for generic video concept classification

Looking at near-duplicate videos from a human-centric perspective

LiveSky: Enhancing CDN with P2P

ELVIS: Entertainment-led video summaries

Semi-supervised distance metric learning for collaborative image retrieval and clustering

Word level automatic alignment of music and lyrics using vocal synthesis

Efficient delivery of on-demand video streams to heterogeneous receivers

Source traffic analysis

Call for papers: ACM transactions on multimedia computing, communications and applications special issue on social media

Issue 2, March 2010

Issue 1, February 2010

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 5

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 4

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 3

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 2

ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) : Volume 1

Semi-supervised distance metric learning for collaborative image retrieval and clustering

Content Provider	ACM Digital Library
Author	Liu, Wei Chang, Shih-Fu Hoi, Steven C.h.
Copyright Year	2010
Abstract	Learning a good distance metric plays a vital role in many multimedia retrieval and data mining tasks. For example, a typical content-based image retrieval (CBIR) system often relies on an effective distance metric to measure similarity between any two images. Conventional CBIR systems simply adopting Euclidean distance metric often fail to return satisfactory results mainly due to the well-known semantic gap challenge. In this article, we present a novel framework of Semi-Supervised Distance Metric Learning for learning effective distance metrics by exploring the historical relevance feedback log data of a CBIR system and utilizing unlabeled data when log data are limited and noisy. We formally formulate the learning problem into a convex optimization task and then present a new technique, named as “Laplacian Regularized Metric Learning” (LRML). Two efficient algorithms are then proposed to solve the LRML task. Further, we apply the proposed technique to two applications. One direct application is for Collaborative Image Retrieval (CIR), which aims to explore the CBIR log data for improving the retrieval performance of CBIR systems. The other application is for Collaborative Image Clustering (CIC), which aims to explore the CBIR log data for enhancing the clustering performance of image pattern clustering tasks. We conduct extensive evaluation to compare the proposed LRML method with a number of competing methods, including 2 standard metrics, 3 unsupervised metrics, and 4 supervised metrics with side information. Encouraging results validate the effectiveness of the proposed technique.
Starting Page	1
Ending Page	26
Page Count	26
File Format	PDF
ISSN	15516857
e-ISSN	15516865
DOI	10.1145/1823746.1823752
Volume Number	6
Issue Number	3
Journal	ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-08-27
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Distance metric learning Content-based image retrieval Multimedia data clustering
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture Computer Networks and Communications

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

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Semi-supervised distance metric learning for collaborative image retrieval and clustering

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