Aesthetics is defined by the properties of arts and beauty. In our day to day lives with the increase of multimedia requirements the aesthetic sense of images and videos has gained much importance. The earlier research was based on the Handcrafted features to assess the aesthetics of videos and images. In this paper, we review the deep learning techniques which effectively automate the video and image aesthetics analysis. Deep learning achieves an impressive performance in automated aesthetics analysis in comparison to Handcrafted features.

Deep Learning is one of the active analysis topic obtaining a great deal of analysis attention recently. This increase in analysis interest is driven by several area as that are being worked on like machine-based reality finding, good over-seeing, sensory activity recognition, online learning, world of advertisement, text analysis and so on. Videos have specific characteristics that make their method unique. Visual aesthetic typically: Remember what they see, understand and learn rather than what they hear. This paper principally emphasizes deep learning on basics of automatic video aesthetic assessments.