most citedEvaluating the Performance of Existing Full-Reference Quality Metrics on High Dynamic Range (HDR) Video Content

17 citations · 21 across the 12 of their papers we have counts for

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eess.IV2018

A Study on the Relationship Between Depth Map Quality and the Overall 3D Video Quality OF Experience

Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos

The emergence of multiview displays has made the need for synthesizing virtual views more pronounced, since it is not practical to capture all of the possible views when filming mu…

eess.IV2018

3D Video Quality Metric for Mobile Applications

Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos

In this paper, we propose a new full-reference quality metric for mobile 3D content. Our method is modeled around the Human Visual System, fusing the information of both left and r…

eess.IV2018

ISO/IEC JTC1/SC29/WG11 MPEG2014/ m34661: Quality Assessment of High Dynamic Range (HDR) Video Content Using Existing Full-Reference Metrics

Amin Banitalebi-Dehkordi, Maryam Azimi, Yuanyuan Dong +2

The main focus of this document is to evaluate the performance of the existing LDR and HDR metrics on HDR video content which in turn will allow for a better understanding of how w…

eess.IV2018★ 1 cited

ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29/WG 11 - JCT3V-C0032: A human visual system based 3D video quality metric

Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos

This contribution proposes a full-reference Human-Visual-System based 3D video quality metric. In this report, the presented metric is used to evaluate the quality of compressed st…

eess.IV2018★ 3 cited

Benchmark 3D eye-tracking dataset for visual saliency prediction on stereoscopic 3D video

Amin Banitalebi-Dehkordi, Eleni Nasiopoulos, Mahsa T. Pourazad +1

Visual Attention Models (VAMs) predict the location of an image or video regions that are most likely to attract human attention. Although saliency detection is well explored for 2…

eess.IV2018

An Efficient Human Visual System Based Quality Metric for 3D Video

Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos

Stereoscopic video technologies have been introduced to the consumer market in the past few years. A key factor in designing a 3D system is to understand how different visual cues…

eess.IV2018

The Effect of Frame Rate on 3D Video Quality and Bitrate

Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos

Increasing the frame rate of a 3D video generally results in improved Quality of Experience (QoE). However, higher frame rates involve a higher degree of complexity in capturing, t…

eess.IV2018

Compression of High Dynamic Range Video Using the HEVC and H.264/AVC Standards

Amin Banitalebi-Dehkordi, Maryam Azimi, Mahsa T. Pourazad +1

The existing video coding standards such as H.264/AVC and High Efficiency Video Coding (HEVC) have been designed based on the statistical properties of Low Dynamic Range (LDR) vide…

eess.IV2018★ 17 cited

Evaluating the Performance of Existing Full-Reference Quality Metrics on High Dynamic Range (HDR) Video Content

Maryam Azimi, Amin Banitalebi-Dehkordi, Yuanyuan Dong +2

While there exists a wide variety of Low Dynamic Range (LDR) quality metrics, only a limited number of metrics are designed specifically for the High Dynamic Range (HDR) content. W…

eess.IV2018

Effect of High Frame Rates on 3D Video Quality of Experience

Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos

In this paper, we study the effect of 3D videos with increased frame rates on the viewers quality of experience. We performed a series of subjective tests to seek the subjects pref…

eess.IV2018

3D Video Quality Metric for 3D Video Compression

Amin Banitalebi-Dehkordi, Mahsa T. Pourazad, Panos Nasiopoulos

As the evolution of multiview display technology is bringing glasses-free 3DTV closer to reality, MPEG and VCEG are preparing an extension to HEVC to encode multiview video content…