Visual Event Recognition using Adaptive Support Vector Machine

Video has more information than the isolated images. Processing, analyzing and understanding of contents present in videos are becoming very important. Consumer videos are generally captured by amateurs using hand held cameras of events and it contains unstable camera, poor background and large difference in same type of events, making their visual volumes highly variable and less discriminant. So visual event recognition is extremely challenging task in computer vision. A visual event recognition framework for consumer videos are framed by leveraging a large amount of loosely labeled web videos. The videos are divided into training and testing sets manually. A simple method called Aligned Space Time Pyramid Matching method proposed to effectively measure the distances between two video clips from different domains. Each video is divided into space time volumes over multiple levels. A new transfer learning method is referred to as Adaptive Multiple Kernel Learning fuse the information from multiple pyramid levels, features Video has more information than the isolated images. Processing, analyzing and understanding of contents present in videos are becoming very important. Consumer videos are generally captured by amateurs using hand held cameras of events and it contains unstable camera, poor background and large difference in same type of events, making their visual volumes highly variable and less discriminant. So visual event recognition is extremely challenging task in computer vision. A visual event recognition framework for consumer videos are framed by leveraging a large amount of loosely labeled web videos. The videos are divided into training and testing sets manually. A simple method called Aligned Space Time Pyramid Matching method proposed to effectively measure the distances between two video clips from different domains. Each video is divided into space time volumes over multiple levels. A new transfer learning method is referred to as Adaptive Multiple Kernel Learning fuse the information from multiple pyramid levels, features