• Shruti Vinit Asarkar
• Prof Madhura V. Phatak

Human interaction and carrier of feelings among humans are accomplished mainly through five senses, such as: touch, smell, taste, audio, and Visual. Considering Visual sense, images and videos are important gradients in day-to-day life. It can elevate/depress mood of person. Video Aesthetics improves user satisfaction. In this study of mood detection, we are demonstrating an approach which is automatically assessed the aesthetics of videos, with emphasis on detecting mood of videos. With the rise popularity of DSLR camera, Mobile dual camera, the amount of Visual data available on the internet is expanding exponentially. Some of the videos and pictures are aesthetically pleasing and beautiful to human eyes. But there are some videos as well as photos which are uninteresting and of low-quality. This paper demonstrates a simple but powerful method to classify videos into pleasing and non pleasing categories. Further our aesthetic quality assessment will find the mood of aesthetically pleasing video (i.e. video representing a happy video or sad or fear, etc), that reflect on person’s mood.

Video aesthetics, Color preference, Color-Mood Analysis Deep Learning, DCNN.

"Mood Detection through Aesthetic Assessment of Videos using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.73-79, May-2019, Available :http://www.jetir.org/papers/JETIRBO06011.pdf

"Mood Detection through Aesthetic Assessment of Videos using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp73-79, May-2019, Available at : http://www.jetir.org/papers/JETIRBO06011.pdf