A Flexible Multi-Rate Allocation Scheme for Balanced Multiple Description Coding Applications

IEEE Signal Process. Lett.

2007

Self Cite

Abstract-Multiple description coding (MDC) is a good way to combat packet losses in error-prone networks subject to packet erasures. However, redundancy tuning is often difficult, and this makes the generation of descriptions with good redundancy-ratedistortion performance a hard job. Moreover, the complexity of generating more than two descriptions represents a strong limitation to MDC. In this letter, we propose a method that exploits the data rate-distortion characteristics to generate multiple descriptions for JPEG 2000 with tunable redundancy levels. The identification of the best number of descriptions as a function of the network conditions is also addressed.

Section: A Two-description Casementioning

confidence: 99%

Section: A Two-description Casementioning

confidence: 99%

mentioning

confidence: 99%

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A Flexible R-D-Based Multiple Description Scheme for JPEG 2000

Baccaglini

IEEE Signal Process. Lett.

2007

Self Cite

“…On the other hand, if only one description is available, this one is simply JPEG 2000 decoded yielding inferior quality. When a subset of k descriptions out of N are decoded, the distortion can be evaluated as [13]:…”

Section: Practical MDC For Distributed Storagementioning

confidence: 99%

Scalable Image Retrieval from Distributed Images Database

Grangetto

2006 IEEE International Conference on Multimedia and Expo

2006

Self Cite

In order to store, and retrieve images from large databases, we propose a framework, based on multiple description coding paradigm, that disseminates images over distributed servers. Consequently, decentralized download can be performed, thus reducing links overload and hotspot areas without penalizing downloads speed. Moreover, the tradeoff between system reliability and storage requirement can be achieved by tuning descriptions redundancy, thus providing high flexibility in terms of storage resources, reliability of access, and performance. The scalability of the proposed framework is achieved by the intrinsic progressivity of the multiple description schemes. Moreover, we demonstrate that system can work properly regardless of server crashes.

“…In general, this feature is not guaranteed in MDC [2]. This letter provides a comparison between the two approaches, applied to the transmission of progressively encoded images over packet lossy networks.…”

Section: Introductionmentioning

confidence: 99%

A Comparison Between ULP and MDC With Many Descriptions for Image Transmission

Baccaglini

IEEE Signal Process. Lett.

2010

In this letter, we present a performance comparison between multiple description coding (MDC) and unequal loss protection (ULP) for progressive image transmission over lossy packet networks. Two optimization criteria are considered, i.e., a multiquality criterion, when distinct quality levels are guaranteed at the decoder side, and the optimization of the expected quality at the receiver. We resort to both a semi-analytical approach and simulation results. To enable numerical comparisons, we address a specific MDC algorithm suitable for progressive imaging, and a state-of-the-art ULP algorithm based on Reed Solomon codes. The results, although cannot be generalized to any MDC and ULP methods, are useful to put into evidence some general features that can drive the selection of the most proper technique for the application at hand. In fact, they allow to put into evidence the main advantages and drawbacks of either technique.