Topic ID: |
3118 | |
Title: |
Matching Words and Pictures: Cross-modal Multimedia Web Infomation Aggregation | |
Supervisor: |
Xiongcai Cai | |
Research Area: |
Machine Learning, Information Retrieval, Computer Vision | |
| Associated Staff | ||
|---|---|---|
Assessor: |
Arcot Sowmya | |
| Topic Details | ||
Status: |
Active | |
Type: |
Research | |
Programs: |
CS CE SE | |
Group Suitable: |
No | |
Industrial: |
No | |
Pre-requisites: |
-- | |
Description: |
The rapid evolution of the Internet and its Web multimedia applications are enabling the delivery of heterogeneous content information, such as news, blog and videos. However, the dramatically increasing of web content has caused information overload, which necessitates information retrieval techniques to efficiently access desired information from multiple information sources and multiple types of content. This project aims to develop new similarity measurement of cross-modal heterogeneous content and its application to multimedia news retrieval. | |
Comments: |
-- | |
| Past Student Reports | ||
| No Reports Available. Contact the supervisor for more information.
Check out all available reports in the CSE Thesis Report Library. NOTE: only current CSE students can login to view and select reports to download. |
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