The problem of objectively measuring perceptual quality of omnidirectional visual content arises in many immersive imaging applications and particularly in compression. The interactive nature of this type of content limits the performance of earlier methods designed for static images or for video with a predefined dynamic. The non-deterministic impact must be addressed using statistical approach. One of the ways to describe, analyze and predict viewer interactions in omnidirectional imaging is through estimation of visual attention. We propose an objective metric to measure perceptual quality of omnidirectional visual content considering visual attention information
It is important to design an effective and efficient objective metric of the video quality in video ...
Several attempts to integrate visual saliency information in quality metrics are described in litera...
Since the human visual system (HVS) is the ultimate assessor of image quality, current research on t...
The Human Visual System (HV S) tends to focus on spe cific regions of viewed images or video frames,...
Omnidirectional visual content is a form of representing graphical and cinematic media content which...
Omnidirectional video (ODV) enables viewers to look at every direction from a fixed point and provid...
International audienceExisting video quality metrics do usually not take into consideration that spa...
Reliably predicting video quality as perceived by humans remains challenging and is of high practica...
Visual saliency estimation aims at identifying and localizing the areas of images and videos that ar...
Most existing quality metrics do not take the human attention analysis into account. Attention to pa...
Image quality assessment potentially benefits from the addition of visual attention. However, incorp...
Objective image quality metrics (IQMs) potentially benefit from the addition of visual saliency. How...
Omni-directional imaging records the visual information from any direction with respect to a given v...
Omnidirectional, or 360°, cameras are able to capture the surrounding space, thus providing an immer...
Omnidirectional visual content is a form of representing graphical and cinematic media content which...
It is important to design an effective and efficient objective metric of the video quality in video ...
Several attempts to integrate visual saliency information in quality metrics are described in litera...
Since the human visual system (HVS) is the ultimate assessor of image quality, current research on t...
The Human Visual System (HV S) tends to focus on spe cific regions of viewed images or video frames,...
Omnidirectional visual content is a form of representing graphical and cinematic media content which...
Omnidirectional video (ODV) enables viewers to look at every direction from a fixed point and provid...
International audienceExisting video quality metrics do usually not take into consideration that spa...
Reliably predicting video quality as perceived by humans remains challenging and is of high practica...
Visual saliency estimation aims at identifying and localizing the areas of images and videos that ar...
Most existing quality metrics do not take the human attention analysis into account. Attention to pa...
Image quality assessment potentially benefits from the addition of visual attention. However, incorp...
Objective image quality metrics (IQMs) potentially benefit from the addition of visual saliency. How...
Omni-directional imaging records the visual information from any direction with respect to a given v...
Omnidirectional, or 360°, cameras are able to capture the surrounding space, thus providing an immer...
Omnidirectional visual content is a form of representing graphical and cinematic media content which...
It is important to design an effective and efficient objective metric of the video quality in video ...
Several attempts to integrate visual saliency information in quality metrics are described in litera...
Since the human visual system (HVS) is the ultimate assessor of image quality, current research on t...