TESTBED DEVELOPMENT OF VIDEO TRANSMISSION SYSTEM WITH H.265 CODEC FOR TRANSMISSION ERROR SIMULATION AND ERROR CONCEALMENT SUBSYSTEM

• Main Author: Hilal Hamdi, Muhammad
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/74626
• Institution: Institut Teknologi Bandung

The use of video in modern times has become commonplace. Almost all digital applications utilize video services. These applications include social media, video calls, video conferences, video games, and streaming platforms. With the increasing usage of video-based applications, the demand for video transmission over the internet has also grown. As a result, the majority of internet traffic data consists of video data. The dominance of video data traffic over other types of data on the internet has led to the massive size of video data in internet traffic. This poses a challenge in transmitting large video data without disrupting other data traffic or damaging the network. Therefore, it is necessary to find ways to conserve transmission bandwidth by reducing the size of the video. However, compressing video data should not compromise the quality of the video itself. One method that can be used is compression, and one commonly used compression standard is H.265. When it comes to video transmission on the internet, considerations go beyond data size to include reliability. Applications that utilize video features require reliability in the video transmission process. Reliability, in this context, refers to the stability of video transmission quality, ensuring user satisfaction. Common parameters used to indicate video stability include visual video quality and transmission delay. Visual quality refers to the subjective value perceived by human eyes when viewing a video. Visual quality can be affected by disturbances in the transmission channel, such as errors. Errors can alter pixels in the video, resulting in color changes and a decline in visual quality. To address errors in the transmission channel, methods such as error resilience and error concealment are employed. Error resilience aims to make videos resistant to errors by adding redundant information before transmission, increasing the video's data size. Upon receiving the video at the receiver end, error correction methods are used to correct and discard the errors. Error resilience involves computational time for the applied algorithms in both the encoder and decoder, thereby introducing latency. On the other hand, error concealment aims to hide video errors from being perceived by human eyes. This method aims to maintain visual video quality without increasing data size and latency. This Final Project research aims to address common issues that arise in video transmission. The first problem is the large size of video traffic data on the internet. One solution is to apply compression to the video. Various compression standards can be applied, with H.265 being one commonly used standard. Another problem is the presence of errors in the transmission that can disrupt the visual quality of the video. One solution is error resilience, but this method increases data size and latency, making it less efficient. Therefore, alternative and more effective solutions are needed, such as error concealment, which does not increase data size and latency. This Final Project research will implement compression using the H.265 standard and error concealment to enhance the video transmission system. Overall, a simulation testbed will be created for video transmission, incorporating H.265 compression and error concealment. The performance evaluation of the designed system will utilize parameters useful in assessing visual video quality, such as objective PSNR and subjective MOS. The design of the testbed in this Final Project is expected to facilitate video transmission system testing before direct implementation on the network.