A multimedia semantic analysis SoC (SASoC) with machine-learning engine
Journal
Digest of Technical Papers - IEEE International Solid-State Circuits Conference
Journal Volume
53
Pages
338-339
Date Issued
2010
Author(s)
Abstract
Advances in semiconductors and developments in machine learning [1] have led to versatile multimedia applications with semantic processing abilities. Realtime applications, such as face detection, facial-expression recognition, scene analysis [2] and object recognition [3], have become indispensable functionality for Consumer Electronic (CE) products. To deal with complicated video-processing algorithms for multimedia content analysis, many powerful processors have been reported [2-5]. Although these processors can speed up video-processing tasks with massively parallel processing elements, they only focus on the feature-extraction parts, and there is no specialized hardware to support different kinds of advanced machine-learning algorithms, which require extensive computations. In this paper, a Semantic Analysis SoC (SASoC) that accelerates video processing and machine learning simultaneously, is developed to meet the demands of the near future. ©2010 IEEE.
Event(s)
2010 IEEE International Solid-State Circuits Conference, ISSCC 2010
Other Subjects
Expression recognition; Face Detection; Machine learning algorithms; Machine-learning; Massively parallel processing; Multimedia applications; Multimedia content analysis; Multimedia semantics; Real-time application; Scene analysis; Semantic analysis; Semantic processing; Specialized hardware; Speed-ups; Video processing; Video-processing algorithms; Face recognition; Feature extraction; Learning systems; Semantics; Learning algorithms
Type
conference paper