A Preliminary Investigation on a Novel Approach for Efficient and Effective Video Classification Model
Keywords:
Video Classification, Keyframe, Video Frame, Background SubtractionAbstract
In the recent ten to fifteen years web developers and web users expend more amount of time on images and videos. Since video is an admirable tool for delivering content, it has one of the major roles in human daily life. There are many kinds of videos available in real life and therefore we need an important tool to perform classification on video-based applications. Video classification and video content analysis is one of the ongoing research areas in the field of computer vision. The main goal of video classification is to help the viewers to find video of their own interest. We need a tool to classify the video with sky scramble accuracy. Therefore, we propose a model for video classification with several medium layers. This model takes video as an input passed through various layers and produce the video class label. The class label may be sports, movies, advertisement, cartoon, news etc.
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