Evaluating bag-of-visual-words representations in scene classification
Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Title of host publication | Proceedings of the ACM International Multimedia Conference and Exhibition |
Pages | 197-206 |
Publication status | Published - 2007 |
Conference
Title | International Multimedia Conference, MM'07 - 9th ACM SIG Multimedia International Workshop on Multimedia Information Retrieval, MIR'07 |
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Place | Germany |
City | Augsburg, Bavaria |
Period | 28 September 2007 |
Link(s)
Abstract
Based on keypoints extracted as salient image patches, an image can be described as a "bag of visual words" and this representation has been used in scene classification. The choice of dimension, selection, and weighting of visual words in this representation is crucial to the classification performance but has not been thoroughly studied in previous work. Given the analogy between this representation and the bag-of-words representation of text documents, we apply techniques used in text categorization, including term weighting, stop word removal, feature selection, to generate image representations that differ in the dimension, selection, and weighting of visual words. The impact of these representation choices to scene classification is studied through extensive experiments on the TRECVID and PASCAL collection. This study provides an empirical basis for designing visual-word representations that are likely to produce superior classification performance. Copyright 2007 ACM.
Research Area(s)
- Bag-of-visual-words, Keypoint, Local interest point, Scene classification
Citation Format(s)
Evaluating bag-of-visual-words representations in scene classification. / Yang, Jun; Jiang, Yu-Gang; Hauptmann, Alexander G.; Ngo, Chong-Wah.
Proceedings of the ACM International Multimedia Conference and Exhibition. 2007. p. 197-206.Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review