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Smart batch tagging of photo albums

Published: 19 October 2009 Publication History

Abstract

As one of the emerging Web 2.0 activities, tagging becomes a popular approach to manage personal media data, such as photo albums. However, exhaustively tagging all photos in an album is a labor-intensive and time-consuming task, and simply entering tags for the whole album will significantly degrade the tagging accuracy. In this paper, we propose a smart batch tagging scheme that aims at facilitating users in album tagging. For a given album, it selects a set of representative exemplars for manual tagging, where the number of exemplars is dependent on the content of the photos.Then the tags of the rest photos are automatically inferred.In this way, the number of tagged photos is significantly reduced and we will show that high tagging accuracy can still be maintained. Therefore, a good trade-off between manual efforts and tagging performance can be achieved. Experimental results have demonstrated the effectiveness and usefulness of the proposed approach.

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  • (2022)OneLabeler: A Flexible System for Building Data Labeling ToolsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517612(1-22)Online publication date: 29-Apr-2022
  • (2021)MI3: Machine-initiated Intelligent Interaction for Interactive Classification and Data ReconstructionACM Transactions on Interactive Intelligent Systems10.1145/341284811:3-4(1-34)Online publication date: 3-Sep-2021
  • (2019)Focal Visual-Text Attention for Memex Question AnsweringIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2018.289062841:8(1893-1908)Online publication date: 1-Aug-2019
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    cover image ACM Conferences
    MM '09: Proceedings of the 17th ACM international conference on Multimedia
    October 2009
    1202 pages
    ISBN:9781605586083
    DOI:10.1145/1631272
    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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    New York, NY, United States

    Publication History

    Published: 19 October 2009

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    Author Tags

    1. AP
    2. batch tagging
    3. flickr
    4. propagation

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    • Short-paper

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    MM09
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    MM09: ACM Multimedia Conference
    October 19 - 24, 2009
    Beijing, China

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    Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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    Cited By

    View all
    • (2022)OneLabeler: A Flexible System for Building Data Labeling ToolsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517612(1-22)Online publication date: 29-Apr-2022
    • (2021)MI3: Machine-initiated Intelligent Interaction for Interactive Classification and Data ReconstructionACM Transactions on Interactive Intelligent Systems10.1145/341284811:3-4(1-34)Online publication date: 3-Sep-2021
    • (2019)Focal Visual-Text Attention for Memex Question AnsweringIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2018.289062841:8(1893-1908)Online publication date: 1-Aug-2019
    • (2013)Towards optimizing human labeling for interactive image taggingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/2501643.25016519:4(1-18)Online publication date: 19-Aug-2013
    • (2013)Interactive social group recommendation for Flickr photosNeurocomputing10.1016/j.neucom.2012.06.039105(30-37)Online publication date: 1-Apr-2013
    • (2012)Intelligent photo clustering with user interaction and distance metric learningPattern Recognition Letters10.1016/j.patrec.2011.02.01233:4(462-470)Online publication date: 1-Mar-2012
    • (2012)Constructing visual tag dictionary by mining community-contributed media corpusNeurocomputing10.1016/j.neucom.2011.03.05995(3-10)Online publication date: 1-Oct-2012
    • (2011)Semi-automatic flickr group suggestionProceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II10.5555/1950054.1950065(77-87)Online publication date: 5-Jan-2011
    • (2011)Automatic image semantic interpretation using social action and tagging dataMultimedia Tools and Applications10.1007/s11042-010-0650-851:1(213-246)Online publication date: 1-Jan-2011
    • (2011)Semi-automatic Flickr Group SuggestionAdvances in Multimedia Modeling10.1007/978-3-642-17829-0_8(77-87)Online publication date: 2011

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