Lyndon Kennedy
Yahoo! Research
4301 Great America Parkway
Santa Clara, CA 95054
Desk: 2GA-2218
Phone: 408-349-3229
Email: [email protected]
Research Scientist, Yahoo!
Santa Clara, CA
I am a research scientist at Yahoo! Research in Santa Clara, CA, where I investigate techniques for automatically indexing, searching, and managing digital image and video collections with Malcolm Slaney. I received a Ph.D. degree in 2009 in Electrical Engineering from Columbia University, where I conducted research in the Digital Video and Multimedia Lab under the direction of Prof. Shih-Fu Chang. I also hold B.S. (2003) and M.S. (2005) degrees, both in EE from Columbia University.
My research has received several awards and honors. I was co-author of a paper awarded the IBM Student Paper Award at ICIP in 2004. In 2006, I was co-author of a paper nominated for the Best Paper Award at ACM Multimedia. Most recently, in October 2007, I was invited as part of a group of 8 top senior Ph.D. students in the multimedia field to participate in the IBM Watson Emerging Leaders in Multimedia Workshop.
In the past, I have worked as an intern at Yahoo! Research Berkeley with Mor Naaman, contributed to the Mapping Meetings project under Prof. Dan Ellis, and developed a Robotic In-Vivo Imaging Device under Prof. Peter Allen.
I am interested in methods for enabling semantic search over multimedia collections. Many current solutions to this problem (particularly, web image search engines) rely primarily on textual metadata. The approaches that I am pursuing aim to improve upon these techniques by also leveraging the audio/visual content of the documents. Recently, I have been exploring the ways in which multimedia documents are re-used by many authors and how we can leverage the resulting emergent internal structures of multimedia collections to improve search, summarization, and exploration. In particular, content-based approaches, which can sometimes seem inadequate on their own, can be revisited and re-imagined in these new multiple-author environments (such as on the web or in social media sharing sites) and yield novel and robust applications.
In the past few years, I have been a frequent participant in the NIST TRECVID video retrieval benchmark and have designed a few high-performing video retrieval systems. I also had an active role in the development of the LSCOM Lexicon and Annotations, a first-of-its-kind collection of hundreds of visual concepts annotated over a large digital video collection, which has been downloaded by hundreds of researchers worldwide.