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Event recognition from photo collections via PageRank

Published: 19 October 2009 Publication History

Abstract

We propose a method of mining most informative features for the event recognition from photo collections. Our goal is to classify different event categories based on the visual content of a group of photos that constitute the event. Such photo groups are typical in a personal photo collection of different events. Visual features are extracted from the images, yet the features from individual images are often noisy and not all of them represent the distinguishing characteristics of an event. We employ the PageRank technique to mine the most informative features from the images that belong to the same event. Subsequently, we classify different event categories using the multiple images of the same event because we argue that they are more informative about the content of an event rather than any single image. We compare our proposed approach with the standard bag of features method (BOF) and observe considerable improvements in recognition accuracy.

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Cited By

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  • (2022)A Survey of Data Representation for Multi-Modality Event Detection and EvolutionApplied Sciences10.3390/app1204220412:4(2204)Online publication date: 20-Feb-2022
  • (2018)Deep-Structured Event Modeling for User-Generated PhotosIEEE Transactions on Multimedia10.1109/TMM.2017.278821020:8(2100-2113)Online publication date: Aug-2018
  • (2016)Cognition-Aware Summarization of Photos Representing EventsIEICE Transactions on Information and Systems10.1587/transinf.2016EDP7079E99.D:12(3140-3153)Online publication date: 2016
  • Show More Cited By

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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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2009

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Author Tags

  1. CBIR
  2. event category recognition
  3. pagerank

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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)A Survey of Data Representation for Multi-Modality Event Detection and EvolutionApplied Sciences10.3390/app1204220412:4(2204)Online publication date: 20-Feb-2022
  • (2018)Deep-Structured Event Modeling for User-Generated PhotosIEEE Transactions on Multimedia10.1109/TMM.2017.278821020:8(2100-2113)Online publication date: Aug-2018
  • (2016)Cognition-Aware Summarization of Photos Representing EventsIEICE Transactions on Information and Systems10.1587/transinf.2016EDP7079E99.D:12(3140-3153)Online publication date: 2016
  • (2016)Abnormal Event Discovery in User Generated PhotosProceedings of the 24th ACM international conference on Multimedia10.1145/2964284.2975215(47-51)Online publication date: 1-Oct-2016
  • (2016)Semantic Feature Mining for Video Event UnderstandingACM Transactions on Multimedia Computing, Communications, and Applications10.1145/296271912:4(1-22)Online publication date: 3-Aug-2016
  • (2016)Event recognition in photo albums using probabilistic graphical models and feature relevanceJournal of Visual Communication and Image Representation10.1016/j.jvcir.2016.07.02140:PB(546-558)Online publication date: 1-Oct-2016
  • (2016)Multimodal classification of events in social mediaImage and Vision Computing10.1016/j.imavis.2015.12.00453:C(45-56)Online publication date: 1-Sep-2016
  • (2015)Tagging Personal Photos with Transfer Deep LearningProceedings of the 24th International Conference on World Wide Web10.1145/2736277.2741112(344-354)Online publication date: 18-May-2015
  • (2015)Automatic Visual Concept Learning for Social Event UnderstandingIEEE Transactions on Multimedia10.1109/TMM.2015.239363517:3(346-358)Online publication date: Mar-2015
  • (2015)Event recognition in personal photo collections using hierarchical model and multiple features2015 IEEE 17th International Workshop on Multimedia Signal Processing (MMSP)10.1109/MMSP.2015.7340864(1-6)Online publication date: Oct-2015
  • Show More Cited By

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