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Tsinghua-HP Multimedia Joint Lab

Tsinghua-HP Multimedia Joint Lab was launched on May 31, 2007. The collaboration brings together two of the world's leading research institutions in multimedia management. HP is the acknowledged market leader in home and office printing while Tsinghua University has leading intellectual property in multimedia research, including analysis, process, search and management.

The joint lab aims to develop multimedia technologies, including automated photo sorting, facial expression recognition and video and music analysis and management.

The initial research areas include:

  • Automatic genre classification of digital photos
  • Improved face identification
  • Vision-Based Audience Analysis
  • Video digital warehouse
  • Video search and recommendation for Internet-based video communities
  • Music analysis and retrieval

Research Area

Currently, the research areas in the Tsinghua-HP Joint Lab include:

» Automatic classification of digital photos
Based just on visual analysis, photos in a collection can be sorted into categories such as portraits, group photos, babies, sports, etc. This capability could prove extremely helpful to people or organizations that store thousands of photos - either online or on a PC - without having to label every picture.
» Improved face identification
"Show me all the photos of my grandmother."A user could enter a query to find all the photos of a certain individual and the system would retrieve them - even if the individual was in photos with other people or his or her face was partially covered. The technology is also being extended to include video.
» Video-based audience analysis
Owners of digital signage could use vision technologies to identify how many people stopped by their display, how long they stayed and what their facial expressions revealed --- pleased, upset, surprised, bored, etc.
» Video digital warehouse
Videos could be analyzed, sorted, stored and retrieved based on graphic features such as frame, shots and scenes, as well as by content. Researchers will explore the use of very large parallel database technology as an enabler for multimedia data warehouses.
» Video search and recommendation for Internet-based video communities
With the proliferation of videos posted online, an algorithm is being developed that would identify similar subject matter to recommend to viewers within a given user community. For example, someone who watched a certain sports video might be offered similar clips.
» Music analysis and retrieval
A user could tell the system, "find me more music like this," and play a sample. The system would then provide recommendations, based on rhythm, melodies, vocals, instruments or other audio elements.

People

Director


 
   
Prof. Xiao-yan ZHU
(Tsinghua University)
  Dr. Min Wang
(HP Labs China)
   
 
Steering Committee

  • Prof. Bo ZHANG, Tsinghua University
  • Prof. Zhi-sheng NIU, Tsinghua University
  • Prof. Wen-guang CHEN, Tsinghua University
  • Dr. Mei-chun HSU, HP
  • Dr. Qian LIN, HP
  • Ms. Alicia CHEN, HP

    Collaborative Professors

  • Prof. Hai-zhou AI, Tsinghua University
  • Prof. Xiao-qing DING, Tsinghua University
  • Prof. Shi-qiang YANG, Tsinghua University
  • Prof. Bo ZHANG, Tsinghua University
  • Prof. Chang-shui ZHANG, Tsinghua University
  • Prof. Jie ZHOU, Tsinghua University

  • » HP Labs China

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