Michael Fink
Michael Fink’s work bridges media research, machine learning and cognitive science. Michael initiated the YouTube interactive video annotations project, which became a major driving force in making YouTube videos truly interactive. Previously, Michael worked at Google Research, focusing on image and audio fingerprinting for applications such as the “mass personalization” of broadcast television. His PhD research at the Hebrew University of Jerusalem focuses on large scale object recognition in humans and machines, generating publications ranging from machine learning, computer vision and artificial intelligence to cognitive science, justice and economics. In the last few years, Michael has initiated the Computer Science and Design program in a joint collaboration with The Hebrew University of Jerusalem and the Bezalel Design Academy.
Authored Publications
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Dynamic Composition for Conversational Domain Exploration
Eran Ofek
Sagie Israel Pudinsky
Asaf Revach
Shimi Salant
The Web Conference, ACM (2020), 872–883
YouTube's Collaborative Annotations
Sigalit Bar
Aviad Bazilai
Nir Kerem
Isaac Elias
Julian Frumar
Herb Ho
Ryan Junee
Simon Ratner
Jasson Schrock
Ran Tavory
Webcentives (2009), pp. 18-19
Coordinated Multi-Device Presentations: Ambient-Audio Identification
Preview
Michele Covell
Shumeet Baluja
Encyclopedia of Wireless and Mobile Communications, Taylor & Francis (2008), pp. 274-285
Mass Personalization: Social and Interactive Applications using Sound-Track Identification
Preview
Michele Covell
Shumeet Baluja
Journal of Multimedia Tools and Applications, 36 (2008), pp. 115-132
Online Multiclass Learning by Interclass Hypothesis Sharing
Preview
Shai Shalev-Shwartz
Yoram Singer
Shimon Ullman
Proceedings of the 23rd International Conference on Machine Learning (2006)
Advertisement Detection and Replacement using Acoustic and Visual Repetition
Preview
Michele Covell
Shumeet Baluja
Proceedings of the 2006 International Workshop on Multimedia Signal Processing, IEEE
