Computer Vision Based Classification on Commercial Videos

Computer Vision Based Classification on Commercial Videos

B. Rebecca Jeya Vadhanam (SRM University, India), Mohan S. (Al Yamamah University, Saudi Arabia), V. Sugumaran (VIT University Chennai, India), Vani V. (Al Yamamah University, Saudi Arabia) and V. V. Ramalingam (SRM University, India)
DOI: 10.4018/978-1-5225-0889-2.ch004
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Abstract

Computer vision is a study which is concerned with automatic mining, analysis, perception, and extraction of the essential information from a single frame or image and a sequence of frames. It focuses on the development of automatic visual perception systems to reconstruct and interpret a three-dimensional scene from two-dimensional images through the properties of the structures in the scene. This is a challenging task for the contemporary computer vision system. Hence, this chapter explores the essential information, processing, analysis, and understanding necessary for computer vision. This enables users to retrieve product-based advertisement content and efficient browsing of desired shows. The final goal of this chapter is to design electronic embedded systems focused on technology integration with a domestic utility concept.

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