Analysis of Characteristics of Video Quality for Unequal Loss Protection in Wi-Fi Based Broadcasting System

2016 ◽  
Author(s):  
Dong Hyun Kim ◽  
Jae Young Jang ◽  
Jong Deok Kim
Keyword(s):  
Video Quality ◽  
Broadcasting System ◽  
Unequal Loss Protection

scholarly journals Unequal loss protection scheme using a quality prediction model in a Wi-Fi broadcasting system

2019 ◽  
Vol 15 (6) ◽  
pp. 155014771985424
Author(s):  
Dong Hyun Kim ◽  
Jong Deok Kim
Keyword(s):  
Packet Loss ◽  
Forward Error Correction ◽  
Wireless Local Area Network ◽  
Local Area Network ◽  
Local Area ◽  
Multimedia Data ◽  
Area Network ◽  
Broadcasting System ◽  
Forward Error ◽  
Unequal Loss Protection

Wireless local area network–based broadcasting techniques are a type of mobile Internet Protocol television technology that simultaneously transmits multimedia content to local users. Contrary to the existing wireless local area network–based multimedia transmission systems, which transmit multimedia data to users using unicast packets, a wireless local area network–based broadcasting system is able to transmit multimedia data to many users in a single broadcast packet. Consequently, network resources do not increase with the increase in the number of users. However, IEEE 802.11 does not provide a packet loss recovery algorithm for broadcast packet loss, which is unavoidable. Therefore, the forward error correction technique is required to address the issue of broadcast packet loss. The broadcast packet loss rate of a wireless local area network–based broadcasting system that transmits compressed multimedia data is not proportional to the quality deterioration of the received video signals; therefore, it is difficult to predict the quality of the received video while also considering the effect of broadcast packet loss. In this scenario, allocating equal forward error correction packets to compressed frames is not an effective method for recovering broadcast packet loss. Thus, several studies on unequal loss protection have been conducted. This study proposes an effective, prediction-based unequal loss protection algorithm that can be applied to wireless local area network–based broadcasting systems. The proposed unequal loss protection algorithm adopts a novel approach by adding forward error correction packets to every transmission frame while considering frame loss. This algorithm was used as a new metric to predict video quality deterioration, and an unequal loss protection structure was designed, implemented, and verified. The effectiveness of the quality deterioration model and the validity of the unequal loss protection algorithm were demonstrated through experiments.

Objective Video Quality Method Based on Mutual Information and Human Visual System

2012 ◽  
Vol 58 (2) ◽  
pp. 147-152
Author(s):  
Michal Mardiak ◽  
Jaroslav Polec
Keyword(s):  
Mutual Information ◽  
Visual System ◽  
Human Visual System ◽  
Quality Evaluation ◽  
Video Quality ◽  
Evaluation Criteria ◽  
Test Sequence ◽  
Quality Metric ◽  
Two Stages ◽  
Video Quality Metric

Objective Video Quality Method Based on Mutual Information and Human Visual SystemIn this paper we present the objective video quality metric based on mutual information and Human Visual System. The calculation of proposed metric consists of two stages. In the first stage of quality evaluation whole original and test sequence are pre-processed by the Human Visual System. In the second stage we calculate mutual information which has been utilized as the quality evaluation criteria. The mutual information was calculated between the frame from original sequence and the corresponding frame from test sequence. For this testing purpose we choose Foreman video at CIF resolution. To prove reliability of our metric were compared it with some commonly used objective methods for measuring the video quality. The results show that presented objective video quality metric based on mutual information and Human Visual System provides relevant results in comparison with results of other objective methods so it is suitable candidate for measuring the video quality.

The Influence of Video Quality on Sponsorship Effects

2018 ◽  
Vol 23 (2) ◽  
pp. 97-114
Author(s):  
Sanghak Lee ◽  
Paul M Pedersen
Keyword(s):  
Video Quality
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