NDLI: Large-scale face images retrieval: A transform coding approach

Content Provider	IEEE Xplore Digital Library
Author	Kouma, J.-P. Haibo Li Olsson, D.
Copyright Year	2010
Description	Author affiliation: CodeMill AB, Tvistevågen 47, 907 29 Umeå, Sweden (Olsson, D.) \|\| Digital Media Lab, Department of Applied Physics and Electronics, Umeå University, 901-87, Sweden (Kouma, J.-P.; Haibo Li)
Abstract	Huge efforts have been devoted to face recognition technology and remarkable results, noticed. Such advances will provide us the possibility to build a new generation of search engine: persons photo fetching. It is a real computing challenge to find a person from a very large or extremely large database which might hold face images of millions or hundred millions of people. A candidate solution is to use partial information (signature) about all the face images for search, making the retrieval speed approximately proportional to the size of a signature image. In this paper we will investigate a totally new way to compress the signature images based on the observation that the face signature images and the query images are highly correlated if they are from the same individual. The face signature image can be greatly compressed (one or two orders of magnitude improvement) by use of knowledge of the query images. We can expect the new compression algorithm to speed up face search 10 to 100 times. The challenge is that query images are not available when we compress their signature image. Our approach is to transfer the face search problem into the so-called “Wyner-Ziv Coding” problem, which could give the same compression efficiency even if the query images are not available until we decompress signature images. A practical compression scheme based on LDPC codes is developed to compress and retrieve face signature images.
Starting Page	535
Ending Page	539
File Size	778970
Page Count	5
File Format	PDF
ISBN	9781424477548
ISSN	15301346
e-ISBN	9781424477555
DOI	10.1109/ISCC.2010.5546585
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-22
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image coding
Content Type	Text
Resource Type	Article
Subject	Signal Processing Mathematics Computer Networks and Communications Computer Science Applications 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

A new approach for distributed image coding in wireless sensor networks

A reliable synchronous transport protocol for wireless image sensor networks

Analysis of compressed depth and image streaming on unreliable networks

Large-scale face images retrieval: A distribution coding approach

Multibase/wavelet transform coding of still images without blocking artifacts

Embedded image-domain adaptive compression of simple images

From Image to Spatial Spectrum and Back

SQS: Similarity Query Scheme for Peer-to-Peer Databases

Adapting transform coding to texturally segmented images

Large-scale face images retrieval: A transform coding approach

Similar Documents

A new approach for distributed image coding in wireless sensor networks

A reliable synchronous transport protocol for wireless image sensor networks

Analysis of compressed depth and image streaming on unreliable networks

Large-scale face images retrieval: A distribution coding approach

Multibase/wavelet transform coding of still images without blocking artifacts

Embedded image-domain adaptive compression of simple images

From Image to Spatial Spectrum and Back

SQS: Similarity Query Scheme for Peer-to-Peer Databases

Adapting transform coding to texturally segmented images

Large-scale face images retrieval: A transform coding approach