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Image search result clustering using Latent Dirichlet Allocation | |
Author | Chaianun Damrongrat |
Call Number | AIT Thesis no.CS-09-02 |
Subject(s) | Information retrieval Image processing Electronic information resource searching Latent semantic indexing |
Note | A thesis submitted in partial fulfillment of the requirements fo r the degree of Master of Science in Computer Science, School of Engineering and Technology |
Publisher | Asian Institute of Technology |
Series Statement | Thesis ; no. CS-09-02 |
Abstract | This thesis is motivated by the idea that Latent Dirichlet Allocation (LDA) works well with text documents, so why not apply it to images? To support this, the thesis proposes three approaches to applying LDA in an image search result clustering system. Each approach uses different features to cluster image results. The first approach uses basic image features (color and texture information) for clustering. The second approach increases the spatial information available. The last approach combines semantic information of text content with image features. The results from each approach are evaluated and analysed in this thesis. |
Year | 2009 |
Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. CS-09-02 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Computer Science (CS) |
Chairperson(s) | Dailey, Matthew |
Examination Committee(s) | Sanparith Marukatat;Haddawy, Peter |
Scholarship Donor(s) | Royal Thai Government Fellowship |
Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2009 |