Multiple Description Coding Techniques Research Articles

Multiple Description Coding for Enhancing Outage and Video Performance Over Relay-Assisted Cognitive Radio Networks

Multimedia content delivery, such as video transmission over wireless networks, imposes significant challenges include spectrum capacity and packet losses. The cognitive radio (CR) technology is developed to solve the spectrum issue, while multiple description coding (MDC) is one of the promising source coding techniques to alleviate packet loss problems and exploit the benefit of path diversity. The source information was split into several descriptions in MDC, then transmitted over a network with multiple paths. The quality of the received data increases with the number of descriptions received at the receiver. In this paper, the proposed system comprises of relay-assisted cognitive radio network using the MDC technique for video transmission. In the simulations, the outage performance of the MDC scheme over two networks, which were relay-assisted network and non-relay network, were compared. Then, the outage probability was used to estimate the video quality, peak signal to noise ratio (PSNR) of the received video. The results obtained show the benefits of the relay assisted networks by 9% improvement on average outage performance over the non-relay network. Furthermore, the video performance improved by an average of 9% in PSNR compared to the non-relay system.

Efficiency of Dynamic GOP Length in Video Stream

Multiple description codes are designed for multiple path video streaming with channel diversities and an efficient MDC technique based on the applied spatial domain processing features. In this paper, we investigate the performance of multi-path video streaming using a multiple description coding (MDC) technique, especially the impacts of several codec variables, such as different lengths of the Group of Pictures (GOP), and the different startup times of I-frame in each independent MDC sub-streams. The overall performance of the system is evaluated by the frame dropout rate, which indicates the probability of playing back frozen frames of the reconstructed video at the receiver devices. To address dynamic channel conditions for video transmissions, we propose an adaptive coding technique by adjusting the GOP lengths according to the channel condition and combinatorial mathematics optimization in length of GOP adjustment. Different approaches, such as sub-dividing GOPs for a single stream and multiple sub-streams, and an adaptive MDC video streaming system, are examined in this paper.

A review of multiple description coding techniques for error-resilient video delivery

Multiple description coding (MDC) is one of the promising solutions for live video delivery over lossy networks. In this paper, we present a review of MDC techniques based on their application doma...

Multiple Descriptions Based on Multirate Coding for JPEG 2000 and H.264/AVC

Multiple description coding (MDC) makes use of redundant representations of multimedia data to achieve resiliency. Descriptions should be generated so that the quality obtained when decoding a subset of them only depends on their number and not on the particular received subset. In this paper, we propose a method based on the principle of encoding the source at several rates, and properly blending the data encoded at different rates to generate the descriptions. The aim is to achieve efficient redundancy exploitation, and easy adaptation to different network scenarios by means of fine tuning of the encoder parameters. We apply this principle to both JPEG 2000 images and H.264/AVC video data. We consider as the reference scenario the distribution of contents on application-layer overlays with multiple-tree topology. The experimental results reveal that our method favorably compares with state-of-art MDC techniques.

Multiple description image and video coding for wireless channels

We consider the problem of efficient image/video transmission over wireless channels. Such a problem involves good compression rates and effectiveness in presence of channel failures. In this work, we use the multiple description coding (MDC) techniques, based on Wavelet Transforms, that have been shown to be powerful against channel failures. We propose a bit allocation procedure that dispatches the source redundancy between the different channels when compressing to a target bit rate with a bounded side distortion. In this way, we develop an MDC scheme well adapted to channel noise. Then, we extend this bit allocation to video. This extension uses the 3D scan-based DWT of Parisot et al. (MMSP, IEEE, New York, 2001); that involves scan-based MDC with rate or quality control. In this work we propose to adapt redundancy between the descriptors in function of channel model and state (BER). Furthermore, the channels can have time-varying states. We consider BSC channels, Gaussian channels, and UMTS channels. The method can be efficiently extended to other channels when the channel model that matches the channel behavior is known. We evaluate the performance of the proposed MDC image/video coder for two descriptions. In a first group of simulations, we compare our application with some different MDC techniques presented by Vaishampayan (IEEE Trans. Inform. Theory 39 (3) (1993) 821) and Servetto et al. (ICIP, IEEE, Chicago, USA, 1998; IEEE Trans. Image Process. 9 (5) (2000) 813–826). In a second group of simulations, we evaluate the robustness of the proposed MDC when submitted to different kinds of channels noise.