Abstract
INTRODUCTION: In last few years number of internet users and available bandwidth has been increased exponentially. The availability of internet with such a low cost is making audiovisual content a more popular and easier form of information exchange. The internet is having a huge amount of this au
Highlights
IntroductionPeople have access to a huge amount of video content over internet and it is becoming a difficult task to find a video of interest from these videos
In last few years number of internet users and available bandwidth has been increased exponentially
This increase in popularity of audiovisual content has created a need of such a system which can classify the desired video class from those tremendous videos
Summary
People have access to a huge amount of video content over internet and it is becoming a difficult task to find a video of interest from these videos This increase in popularity of audiovisual content has created a need of such a system which can classify the desired video class from those tremendous videos. There are different methods to classify these videos classification are Text based approach, audio based approach and video based approach and these days combination of audio-visual feature extraction is being used. The first one make use text information of given input video file, the second type uses audio part of the input video file and classifies the system based on its audio information while on the other hand third method is to extract visual features of the input video file and categories that it belongs to which class. The combinational approach which is the recently developed type is based on the fact that both audio as well as visual part of any video contains almost equal information and both of them play an important role for video classification
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