With the popularization of digital cameras and therapid development of the Internet, number of images and videostaken and its broadcasting is growing explosively. The aestheticsevaluation of video media can be used as useful clue to improveuser satisfaction in many applications like search; broadcastingand recommendation. To automatically assess the quality ofvideos with a strong correlation with human perception is achallenging task. There are two different challenges that exist inthis task: First one is, there is no any publically benchmarkeddatasets available till date and second one is lack of standard videoshooting techniques.