research-article

Energy conservation by adaptive feature loading for mobile content-based image retrieval

Authors:

Karthik Kumar,

Yamini Nimmagadda,

Yu-Ju Hong,

Yung-Hsiang LuAuthors Info & Claims

ISLPED '08: Proceedings of the 2008 international symposium on Low Power Electronics & Design

Pages 153 - 158

https://doi.org/10.1145/1393921.1393963

Published: 11 August 2008 Publication History

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Abstract

We present an adaptive loading scheme to save energy for content based image retrieval (CBIR) in a mobile system. In CBIR, images are represented and compared by high-dimensional vectors called features. Loading these features into memory and comparing them consumes a significant amount of energy. Our method adaptively reduces the features to be loaded into memory for each query image. The reduction is achieved by estimating the difficulty of the query and by reusing cached features in memory for subsequent queries. We implement our method on a PDA and obtain overall energy reduction of 61.3% compared with an existing CBIR implementation.

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Cited By

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Damahe LThakur N(2019)Review on Image Representation Compression and Retrieval ApproachesTechnological Innovations in Knowledge Management and Decision Support10.4018/978-1-5225-6164-4.ch009(203-231)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-6164-4.ch009
Jiang YXu XTerlecky PAbdelzaher TBar-Noy AGovindan RAbdelzaher TRömer KRajkumar R(2013)MediaScopeProceedings of the 12th international conference on Information processing in sensor networks10.1145/2461381.2461416(289-300)Online publication date: 8-Apr-2013
https://dl.acm.org/doi/10.1145/2461381.2461416
Li KZhu CLv QShang LDick R(2013)Personalized multi-modality image management and search for mobile devicesPersonal and Ubiquitous Computing10.1007/s00779-013-0660-417:8(1817-1834)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1007/s00779-013-0660-4
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Index Terms

Energy conservation by adaptive feature loading for mobile content-based image retrieval
1. General and reference
  1. Cross-computing tools and techniques
    1. Design
2. Information systems
  1. Information retrieval

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Information

Published In

ISLPED '08: Proceedings of the 2008 international symposium on Low Power Electronics & Design

August 2008

396 pages

ISBN:9781605581095

DOI:10.1145/1393921

General Chairs:
Vijaykrishnan Narayanan
Penn State University
,
C. P. Ravikumar
Texas Instruments
,
Joerg Henkel
Univeristy of Karlsruhe
,
Ali Keshavarzi
Intel Corporation
,
Program Chairs:
Vojin G. Oklobdzija
University of Texas at Dallas
,
Barry Pangrle
Pangrle Consulting

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 11 August 2008

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ISLPED08: International Symposium on Low Power Electronics and Design

August 11 - 13, 2008

Bangalore, India

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Overall Acceptance Rate 398 of 1,159 submissions, 34%

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Damahe LThakur N(2019)Review on Image Representation Compression and Retrieval ApproachesTechnological Innovations in Knowledge Management and Decision Support10.4018/978-1-5225-6164-4.ch009(203-231)Online publication date: 2019
https://doi.org/10.4018/978-1-5225-6164-4.ch009
Jiang YXu XTerlecky PAbdelzaher TBar-Noy AGovindan RAbdelzaher TRömer KRajkumar R(2013)MediaScopeProceedings of the 12th international conference on Information processing in sensor networks10.1145/2461381.2461416(289-300)Online publication date: 8-Apr-2013
https://dl.acm.org/doi/10.1145/2461381.2461416
Li KZhu CLv QShang LDick R(2013)Personalized multi-modality image management and search for mobile devicesPersonal and Ubiquitous Computing10.1007/s00779-013-0660-417:8(1817-1834)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.1007/s00779-013-0660-4
Kumar KNimmagadda YLu Y(2012)Energy Conservation for Image Retrieval on Mobile SystemsACM Transactions on Embedded Computing Systems10.1145/2345770.234577911:3(1-22)Online publication date: 1-Sep-2012
https://dl.acm.org/doi/10.1145/2345770.2345779
Cascia MMorana MVella F(2010)Automatic image representation and clustering on mobile devicesJournal of Mobile Multimedia10.5555/2016968.20169746:2(158-169)Online publication date: 1-Jun-2010
https://dl.acm.org/doi/10.5555/2016968.2016974
La Cascia MMorana MSorce S(2010)Mobile Interface for Content-Based Image ManagementProceedings of the 2010 International Conference on Complex, Intelligent and Software Intensive Systems10.1109/CISIS.2010.172(718-723)Online publication date: 15-Feb-2010
https://dl.acm.org/doi/10.1109/CISIS.2010.172
Fay DShang LGrunwald DHenkel JParameswaran S(2009)A platform for developing adaptable multicore applicationsProceedings of the 2009 international conference on Compilers, architecture, and synthesis for embedded systems10.1145/1629395.1629418(157-166)Online publication date: 11-Oct-2009
https://dl.acm.org/doi/10.1145/1629395.1629418
Kumar KNimmagadda YLu YHenkel JKeshavarzi AChang NGhani T(2009)Ranking servers based on energy savings for computation offloadingProceedings of the 2009 ACM/IEEE international symposium on Low power electronics and design10.1145/1594233.1594296(267-272)Online publication date: 19-Aug-2009
https://dl.acm.org/doi/10.1145/1594233.1594296
Zhu CLi KLv QShang LDick RZielinski KWolisz AFlinn JLaMarca A(2009)iScopeProceedings of the 7th international conference on Mobile systems, applications, and services10.1145/1555816.1555845(277-290)Online publication date: 22-Jun-2009
https://dl.acm.org/doi/10.1145/1555816.1555845

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Energy Conservation for Image Retrieval on Mobile Systems

Content-based image retrieval: a deep look at features prospectus

An adaptive technique for content-based image retrieval

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