Analytics Overview

Gerald Friedland
International Computer Science Institute
Berkeley, CA

Abstract

Even though the mathematical foundations are very similar, in the past, artificial intelligence research seemed to be strictly divided according to the different types of data that were to be analyzed. Therefore many research groups work on either speech processing, computer vision, or video analysis. Only recently trends, such as Semantic Computing, have emerged that try to merge the different research tracks in order to create unified approaches that can benefit from the synergy of extracting and analyzing data of different modalities in a combined way. The following document tries to provide a quick and dirty introduction to the different methodological, philosophical, and foremost terminological branches that have been taken by speech scientist and by computer vision scientists.