The Lab for Media Search (LMS) is a multimedia research group at the National University of Singapore (NUS).

It is headed by Professor Chua Tat-Seng of the School of Computing and consists of a group of dedicated researchers and Ph.D students.

News and Annoucements

Feb 2011 — Part-time Data Annotation Work from the Comfort of Your Home (NEW)

We are recruiting data annotators for research conducted in the Lab of Media Search at the School of Computing, NUS. If you have 10-20 hours free time from 22 Feb onwards to the end of this month, and you are familiar with consumer electronics like ipod, iphone and the various laptop brands, you are eligible! Basically, you are required to read product reviews or question-answer pairs and determine their product categories, facets or sentiments. We will provide a web-based annotation interface for you to work from anywhere with internet connection.

You will be paid by an hourly rate of about SGD $8-74 for an undergraduate student, subject to a maximum of 64 working hours per month.

For those who are interested, please contact Ms Tan Ai Qing at comtaq@nus.edu.sg for details.

Jan 2011 — Prof. Chua’s Invited Talk at MMM’11 (17th International Conference on MultiMedia Modeling).

Jan 2011 — Zhao Yiliang wins the Best Paper Award at the 17th International Conference on MultiMedia Modeling (MMM) in Taipei, Taiwan.

Nov 2010 — Dr. Hong Richang's joint work with Dr. Yan Shuicheng’s group wins the Best Paper Award at ACM Multimedia 2010 in Firenze, Italy.

The paper is entitled “Dynamic Captioning: Video Accessibility Enhancement for Hearing Impairment”.

Sep 2010 — Prof. Chua’s Invited Talk at COLING’10 Workshop on “People's Web Meets NLP”.

Aug 2010The Release of NUSEF: The National University of Singapore, Eye-fixation database.

Jul 2010 — Ming Zhaoyan wins the Elsevier 2010 App Challenge at “ACM SIGIR 2010“ conference.

Jul 2010 — Prof. Chua’s Invited Talk at CIVR’10.

Jun 2010 — Zheng Yantao wins the “Best PHD Thesis Award” in NUS. His thesis is entitled “Beyond Visual Words: Exploring Higher-Level Image Representation for Object Categorization”.