Advanced Multimedia Processing Lab -- Group Member -- Howard Leung

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Group Member

Howard Wing Ho Leung
PhD.

Personal Homepage: http://www.cs.cityu.edu.hk/~howard/
Email: wingho@alumni.carnegiemellon.edu
 

Office: Porter Hall B43
Lab: Porter Hall B6
Phone: 412-268-7100
Fax: 412-268-1679
Mailing Address:
Porter Hall B6, Department of ECE,
Carnegie Mellon University,
5000 Forbes Avenue, Pittsburgh,
PA 15213-3890, USA

[Research Interests]        [Project]      [Publications]      [Joint Collaboration between CMU and IBM

Research Interests

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Project

NetICE
Networked Intelligent Collaborative Environment

When multiple participants are involved in video conferencing, current software places different participants in different windows. This arrangement makes it difficult for the participants to tell who is talking to whom, and there is no sense of immersion. By enhancing the capabilities of the network and adding intelligence to the end terminal, the quality of the audio-visual communication can be improved. In this project, we would like to provide a system that will reproduce an actual conference setting, so that people can communicate from anywhere at any time and still feel that they are in the same environment without realizing the limitation of the physical network.

For more details on the project please see the NetICE project page.

Hand-Drawn Sketch Retrieval

In this system, the user is able to draw a query and the system will search through similar sketches from a collection of free-form hand-drawings. For example, in the classroom, the lecture notes written by the teacher on the whiteboard can be captured electronically by a collaboration device such as "mimio". Later students can retrieve relevant lecture materials from the hand-drawn sketch database by sketching a query drawing.

For more details on the project please see the Hand-Drawn Sketch Retrieval project page.

 

Trademark Retrieval

In traditional trademark retrieval systems, the trademarks are first annotated with keywords that are then used for retrieval. However, this process requires a lot of manual labor in order to assign keywords. Also, the annotation for the same trademark may not be consistent with different users. As a result, it is more desirable to allow the user to input a query by providing a rough sketch and then the system is smart enough to automatically extract features from this query sketch and use them for comparison in order to search for similar trademarks in the database.

For more details on the project please see the Trademark Retrieval project page.

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Publications

Journal:

Conference:

Technical Report and White Paper:

Thesis:

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Revised: July 15, 2006 .