On video SNR scalability

Kondi, Lisimachos P.; Ishtiaq, Faisal; Katsaggelos, Aggelos K.

doi:10.1109/icip.1998.999079

Cited by 7 publications

(10 citation statements)

References 5 publications

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“…The method we propose in this paper builds upon and generalizes a method we have proposed earlier [4], [6]. In this earlier method a single DCT and quantization operation of the DFD is involved.…”

Section: Methods For Snr Scalabilitymentioning

confidence: 98%

An operational rate-distortion optimal single-pass SNR scalable video coder

Kondi

Katsaggelos²

2001

IEEE Trans. on Image Process.

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In this paper, we introduce a new methodology for signal-to-noise ratio (SNR) video scalability based on the partitioning of the DCT coefficients. The DCT coefficients of the displaced frame difference (DFD) for inter-blocks or the intensity for intra-blocks are partitioned into a base layer and one or more enhancement layers, thus, producing an embedded bitstream. Subsets of this bitstream can be transmitted with increasing video quality as measured by the SNR. Given a bit budget for the base and enhancement layers the partitioning of the DCT coefficients is done in a way that is optimal in the operational rate-distortion sense. The optimization is performed using Lagrangian relaxation and dynamic programming (DP). Experimental results are presented and conclusions are drawn.

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Section: Methods For Snr Scalabilitymentioning

confidence: 98%

An operational rate-distortion optimal single-pass SNR scalable video coder

Kondi

Katsaggelos²

2001

IEEE Trans. on Image Process.

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“…Along with the residual information, a data stream needs to also carry syntactic data, such as picture header, start codes, group of pictures (GOP) information, and macroblock header. This can incur a large amount of overhead especially at low data rates [17]. • Experimental evidence Fig.…”

Section: • Packetization Overheadmentioning

confidence: 99%

“…We first allocate to all receivers to satisfy the minimum reception rate constraint (lines 2-7). Next, a receiver is assigned a stream that has not yet been assigned and has a maximum product of the group size and the effective reception rate until every receiver is assigned to at least one stream (lines [8][9][10][11][12][13][14][15][16][17][18]. In stream selection, we assign an identity function to the effective rate allocation function for replicated stream multicasting, since a nonlayered stream is not supposed to incur layering overhead.…”

Section: ) Rate Allocation: a Replicated Stream Multicast Session Ismentioning

confidence: 99%

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A comparison of heterogeneous video multicast schemes: Layered encoding or stream replication

Kim¹,

Ammar

2005

IEEE Trans. Multimedia

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The heterogeneity of the Internet's transmission resources and end system capability makes it difficult to agree on acceptable traffic characteristics among the multiple receivers of a multicast video stream. Three basic approaches have been proposed to deal with this problem: 1) multicasting the replicated video streams at different rates; 2) multicasting the video encoded in cumulative layers; and 3) multicasting the video encoded in noncumulative layers. Even though there is a common belief that the layering approach is better than the replicated stream approach, there have been no studies that compare these schemes. This paper is devoted to such a systematic comparison. Our starting point is an observation (substantiated by results in the literature) that a bandwidth overhead is incurred by encoding a video stream in layers. We argue that a fair comparison of these schemes needs to take into account this overhead, as well as the specifics of the encoding used in each scheme, protocol complexity, and the topological placement of the video source and the receivers relative to each other. Our results show that the believed superiority of layered multicast transmission relative to replicated stream multicasting is not as clear cut as is widely believed and that there are indeed scenarios where replicated stream multicasting is the preferred approach.Index Terms-Multimedia communication, video multicasting, scalable video streaming.

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“…Layered video coding has been classified into two main categories, Scalable Coding (SC) [1][2][3][4][5][6][7] and Multiple Description Coding (MDC). [8][9][10] The former produces uncorrelated layers of different importance that have a hierarchal structure.…”

Section: Introductionmentioning

confidence: 99%

Optimal bit allocation for hybrid scalable/multiple-description video transmission over wireless channels

2006

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In this paper, we consider the problem of optimal bit allocation for wireless video transmission over fading channels. We use a newly developed hybrid scalable/multiple-description codec that combines the functionality of both scalable and multiple-description codecs. It produces a base layer and multiple-description enhancement layers. Any of the enhancement layers can be decoded (in a non-hierarchical manner) with the base layer to improve the reconstructed video quality. Two different channel coding schemes (Rate-Compatible Punctured Convolutional (RCPC)/Cyclic Redundancy Check (CRC) coding and, product code Reed Solomon (RS)+RCPC/CRC coding) are used for unequal error protection of the layered bitstream. Optimal allocation of the bitrate between source and channel coding is performed for discrete sets of source coding rates and channel coding rates. Experimental results are presented for a wide range of channel conditions. Also, comparisons with classical scalable coding show the effectiveness of using hybrid scalable/multiple-description coding for wireless transmission.

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On video SNR scalability

Cited by 7 publications

References 5 publications

An operational rate-distortion optimal single-pass SNR scalable video coder

An operational rate-distortion optimal single-pass SNR scalable video coder

A comparison of heterogeneous video multicast schemes: Layered encoding or stream replication

Optimal bit allocation for hybrid scalable/multiple-description video transmission over wireless channels

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