TY  - JOUR
TI  - Thumbnail Selection with Convolutional Neural Network Based on Emotion Detection
AB  - The use of video broadcasting platforms is increasing day by day. The competition for developing platforms for the broadcasting and sharing of movies and TV series is increasing. The purpose of reproducing these platforms is to increase the quality and to trace them on a single platform. Film and TV series platforms use artificial intelligence algorithms for these shares. The aim of this study is to create more attractive cover photos for users by finding suitable frames from a movie or TV series. First, the frames that were transformed into covers/small pictures on the platform were obtained. Unnecessary frames which consist of closed eyes, blurry frames, or faceless images have been removed. Also, deep learning is used to label images with objects and emotions based on the identity of the face. The thumbnails with the most repeating faces were selected by developing a face recognition model at each step. The experimental results showed that the emotion model was successful.
AU  - Çakar, Mahmut
AU  - Demir, Onder
AU  - Yıldız, Kazım
DO  - 10.7240/jeps.900561
PY  - 2021
JO  - International journal of advances in engineering and pure sciences (Online)
VL  - 33
IS  - 0
SN  - 2636-8277
SP  - 88
EP  - 93
DB  - TRDizin
UR  - http://search/yayin/detay/514994
ER  -