A multiple image group adaptation approach for event recognition in consumer videos

Dengfeng Zhang*, Wei Liang, Hao Song, Zhen Dong, Xinxiao Wu

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Event recognition in the consumer videos is a challenging task since it is difficult to collect a large number of labeled training videos. In this paper, we propose a novel Multiple kernel Image Group Adaptation approach to divide the training labeled Web images into several semantic groups and optimize the combinations of each based kernel. Our method simultaneously learns a kernel function and a robust Support Vector Regression (SVR) classifier by minimizing both the structure risk of SVR with the smooth assumption and the distribution difference of weighted image groups and the consumer videos. Comprehensive experiments on the datasets CCV and TREATED 2014 demonstrate the effectiveness of our method for event recognition.

Original languageEnglish
Title of host publicationImage and Graphics - 8th International Conference, ICIG 2015, Proceedings
EditorsYu-Jin Zhang
PublisherSpringer Verlag
Pages176-187
Number of pages12
ISBN (Print)9783319219776
DOIs
Publication statusPublished - 2015
Event8th International Conference on Image and Graphics, ICIG 2015 - Tianjin, China
Duration: 13 Aug 201516 Aug 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9217
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference8th International Conference on Image and Graphics, ICIG 2015
Country/TerritoryChina
CityTianjin
Period13/08/1516/08/15

Keywords

  • Event recognition
  • Image group
  • Kernel learning
  • Transfer learning

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Zhang, D., Liang, W., Song, H., Dong, Z., & Wu, X. (2015). A multiple image group adaptation approach for event recognition in consumer videos. In Y.-J. Zhang (Ed.), Image and Graphics - 8th International Conference, ICIG 2015, Proceedings (pp. 176-187). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9217). Springer Verlag. https://doi.org/10.1007/978-3-319-21978-3_16