Congratulations, you found the only digital home page for Eric Zavesky, a principal member of technical staff at AT&T Labs Research. I research retrieval and interaction problems in a group focusing on Video and Multimedia Retrieval Services. Specifically, I'm interested in shifting the cognitive burden of modern indexing and retrieval systems (i.e. how an average person might use something) to the wealth of automated tools and algorithms that these discipline provide (i.e. data-mined recommendations, passive observations, long-term preference learning).
On December 18, 2009 I defended my dissertation in the department of Electrical Engineering at Columbia University in New York. There, I investigated multimedia indexing and interactive search for Professor Shih-Fu Chang’s Digital Video and Multimedia Lab. My thesis "A Guided, Low-Latency, and Relevance Propagation Framework for Interactive Multimedia Search" focused on a new form of interaction for video and image search and culminated in the creation of a new system called CuZero as well as a series of patents.
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