Considering the content dependence of the perceived quality, selection of source content can significantly influence the results of studies related to Quality of Experience. In this paper, we propose an automated content selection method towards wide color gamut stimuli. The framework enables to objectively characterize the content according to its perceptual properties and thus allows to select a representative, diverse, and challenging subsets for various studies. Experimental results validate the reliability and robustness of the proposed framework.
|Title of host publication||2018 IEEE International Conference on Image Processing, ICIP 2018 - Proceedings|
|Publisher||IEEE Computer Society|
|Number of pages||5|
|Publication status||Published - 2018 Aug 29|
|Event||25th IEEE International Conference on Image Processing, ICIP 2018 - Athens, Greece|
Duration: 2018 Oct 7 → 2018 Oct 10
|Name||Proceedings - International Conference on Image Processing, ICIP|
|Conference||25th IEEE International Conference on Image Processing, ICIP 2018|
|Period||18/10/7 → 18/10/10|
Bibliographical notePublisher Copyright:
© 2018 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Signal Processing