Computer Vision Based Classification on Commercial Videos

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.