NDLI: The CMVAI-File: An Efficient Approximation-Based High-Dimensional Index Structure

Content Provider	IEEE Xplore Digital Library
Author	Lihong Ye Yuan Hua
Copyright Year	2010
Abstract	Similarity-Search based index structure is an important topic in many application areas, such as content-based multimedia information retrieval, data mining, cluster analysis, etc. In order to improve query performance in high-dimensional vector spaces, lots of index structures have been proposed. However, many well-known index structures encounter “dimensional curse” while the dimension of feature vector increase. In order to solve such problem, researchers analyzed the nearest-neighbor search problem in high-dimensional vector spaces deeply and proposed some approximation-based index structures. The VA-File which is the first implement approximation-based index structures has done well in solving “dimensional curse” problem. However, approximate vectors in VA-File are just simply placed in flat structure files without other optimization methods. In this paper, we propose the Collecting and Multi-Vector-Approximation Indexed-File (CMVAI-File). The CMVAI-File is still an approximate-based index structure and uses a filter-based approach. Unlike the VA-File, the CMVAI-File uses multi-level approximate, collect the same vector-approximations and a segmental structure to improve query performance. Experimental results show that CMVAI-File has a promising improvement in performance.
Starting Page	710
Ending Page	713
File Size	417500
Page Count	4
File Format	PDF
ISBN	9781424486267
e-ISBN	9780769542584
DOI	10.1109/MINES.2010.153
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Similarity-Search Image databases Filtering High-Dimensional Index Structure Filtering algorithms Approximation algorithms Approximation methods Indexes Time factors Approximation-Based
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