Conference proceeding
Perspective hierarchical dirichlet process for user-tagged image modeling
Proceedings of the 20th ACM international conference on information and knowledge management, pp 1341-1346
24 Oct 2011
Abstract
In this paper, we proposed a perspective Hierarchical Dirichlet Process (pHDP) model to deal with user-tagged image modeling. The contribution is two-fold. Firstly, we associate image features with image tags. Secondly, we incorporate the user's perspectives into the image tag generation process and introduce new latent variables to determine if an image tag is generated from user's perspectives or from the image content. Therefore, the model is able to extract both embedded semantic components and user's perspectives from user-tagged images. Based on the proposed pHDP model, we achieve automatic image tagging with users' perspective. Experimental results show that the pHDP model achieves better image tagging performance compared to state-of-the-art topic models.
Metrics
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2 citations in Scopus
Details
- Title
- Perspective hierarchical dirichlet process for user-tagged image modeling
- Creators
- Xin Chen - Drexel UniversityXiaohua Hu - Drexel UniversityYuan An - Drexel UniversityZunyan Xiong - Drexel UniversityTingting He - Central China Normal UniversityE Park - California State University, ChicoXiaoli Chen - Pathology (and Laboratory Medicine)
- Publication Details
- Proceedings of the 20th ACM international conference on information and knowledge management, pp 1341-1346
- Conference
- 20th ACM international conference on information and knowledge management, 20th
- Series
- CIKM '11
- Publisher
- Association for Computing Machinery (ACM)
- Number of pages
- 1
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Information Science (Informatics); Radiation Oncology (and Nuclear Medicine); Pathology (and Laboratory Medicine)
- Scopus ID
- 2-s2.0-83055186909
- Other Identifier
- 991019173532304721