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iScope: personalized multi-modality image search for mobile devices

Published: 22 June 2009 Publication History

Abstract

Mobile devices are becoming a primary medium for personal information gathering, management, and sharing. Managing personal image data on mobile platforms is a difficult problem due to large data set size, content diversity, heterogeneous individual usage patterns, and resource constraints. This article presents a user-centric system, called iScope, for personal image management and sharing on mobile devices. iScope uses multi-modality clustering of both content and context information for efficient image management and search, and online learning techniques for predicting images of interest. It also supports distributed content-based search among networked devices while maintaining the same intuitive interface, enabling efficient information sharing among people. We have implemented iScope and conducted in-field experiments using networked Nokia N810 portable Internet tablets. Energy efficiency was a primary design focus during the design and implementation of the iScope search algorithms. Experimental results indicate that iScope improves search time and search energy by 4.1X and 3.8X on average, relative to browsing.

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  • (2017)Personalized Mobile Searching Approach Based on Combining Content-Based Filtering and Collaborative FilteringIEEE Systems Journal10.1109/JSYST.2015.247299611:1(324-332)Online publication date: Mar-2017
  • (2017)A survey on context-aware mobile visual recognitionMultimedia Systems10.1007/s00530-016-0523-823:6(647-665)Online publication date: 1-Nov-2017
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      cover image ACM Conferences
      MobiSys '09: Proceedings of the 7th international conference on Mobile systems, applications, and services
      June 2009
      370 pages
      ISBN:9781605585666
      DOI:10.1145/1555816
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      Published: 22 June 2009

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      1. energy
      2. management
      3. performance
      4. retrieval

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      • (2023)Emma: An accurate, efficient, and multi-modality strategy for autonomous vehicle angle predictionIntelligent and Converged Networks10.23919/ICN.2023.00044:1(41-49)Online publication date: Mar-2023
      • (2017)Personalized Mobile Searching Approach Based on Combining Content-Based Filtering and Collaborative FilteringIEEE Systems Journal10.1109/JSYST.2015.247299611:1(324-332)Online publication date: Mar-2017
      • (2017)A survey on context-aware mobile visual recognitionMultimedia Systems10.1007/s00530-016-0523-823:6(647-665)Online publication date: 1-Nov-2017
      • (2016)SmartPhotoIEEE Transactions on Mobile Computing10.1109/TMC.2015.244437915:5(1249-1263)Online publication date: 1-May-2016
      • (2014)SmartPhotoProceedings of the 15th ACM international symposium on Mobile ad hoc networking and computing10.1145/2632951.2632979(113-122)Online publication date: 11-Aug-2014
      • (2014)Socialized Mobile Photography: Learning to Photograph With Social Context via Mobile DevicesIEEE Transactions on Multimedia10.1109/TMM.2013.228346816:1(184-200)Online publication date: Jan-2014
      • (2014)MPaaSInformation Systems Frontiers10.1007/s10796-013-9476-z16:1(59-75)Online publication date: 1-Mar-2014
      • (2013)Mobile Multimedia Recommendation in Smart Communities: A SurveyIEEE Access10.1109/ACCESS.2013.22811561(606-624)Online publication date: 2013
      • (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
      • (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
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