No-reference evaluation of 3 dimensional video quality using spatial and frequency domain components Uzamsal ve Frekans Bölgesindeki Bilesenler Kullanilarak 3 Boyutlu Video Kalitesinin Referanssiz Degerlendirilmesi

Bayrak H., Nur Yılmaz G.

26th IEEE Signal Processing and Communications Applications Conference, SIU 2018, İzmir, Turkey, 2 - 05 May 2018, pp.1-4 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2018.8404323
  • City: İzmir
  • Country: Turkey
  • Page Numbers: pp.1-4
  • Keywords: 3 Dimensional (3D) Video, Canny Operator, Discrete Cosine Transform, No-Reference Video Quality Assessment
  • TED University Affiliated: No

Abstract

© 2018 IEEE.Video Quality Assessment (VQA) plays an important role both for evaluating the performance of the transmitter-receiver system and for delivering the video in an efficient manner via the feedback it provides to the transmitter side. Full Reference (FR) VQA metrics currently utilized in the literature are not too efficient during the applications due to the requirement of the original video sequence at the receiver side. Therefore, the tendency of the researchers is recently on to develop Reduced Reference (RR) or No-Reference (NR) VKD metrics. In this paper, a NR VKD metric considering spatial and frequency domain components of the color and depth map based 3 Dimensional (3D) video important for Human Visual System (HVS) is developed. Canny operator which is an efficient algorithm to extract edge information is used to obtain the components in the spatial domain. Discrete Cosine Transform (DCT) is exploited to obtain the components in the frequency domain. The efficient results obtained show that the proposed algorithm is capable of superseding the FR metrics existing in the literature.