A linear-complexity distortion optimal scheme for the transmission of packetized progressive bitstreams

Etemadi, F.; Yousefi'zadeh, H.; Jafarkhani, Hamid

doi:10.1109/lsp.2005.843768

Cited by 11 publications

(11 citation statements)

References 13 publications

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“…This optimization problem can be solved with an O(N L) complexity using the local search algorithm [25] or the distortion-optimal solution proposed in [26] and [24]. We have used the latter algorithm which solves L single variable optimization problems instead of solving an optimization problem with L decision variables.…”

Section: ) Modified Expected Distortion Modelmentioning

confidence: 99%

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Distortion optimal transmission of multi-layered FGS video over wireless channels

Nejati

Yousefi'zadeh

Jafarkhani

2010

IEEE J. Select. Areas Commun.

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Abstract-We identify an analytical expression for the distortion of a scalable video bitstream containing a Base Layer (BL) and one or more Enhancement Layer (EL) bitstreams. Considering the different priority of BL and EL, we adopt our distortion expression for each of these bitstreams separately. Utilizing these distortion models, we propose a pair of low complexity Unequal Error Protection (UEP) methods for transmitting these bitstreams over a tandem channel. These onedimensional Forward Error Correction (FEC) coding schemes, protect each bitstream against both bit errors caused by fading and packet erasures caused by network buffering. They also combat temporally correlated loss effects observed over tandem channels by using optimal symbol interleaving. We evaluate the performance of our proposed schemes by comparing their results against those of Equal Error Protection (EEP) and those of a number of UEP methods as well. We illustrate the performance advantage of our schemes over other schemes for different available budgets and channel conditions.

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Section: ) Modified Expected Distortion Modelmentioning

confidence: 99%

“…We have used the latter algorithm which solves L single variable optimization problems instead of solving an optimization problem with L decision variables. It is shown in [26] that although the i-th optimization problem consists of i columns, only the first column has to be optimized.…”

Section: ) Modified Expected Distortion Modelmentioning

confidence: 99%

Distortion optimal transmission of multi-layered FGS video over wireless channels

Nejati

Yousefi'zadeh

Jafarkhani

2010

IEEE J. Select. Areas Commun.

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“…We refer to this algorithm as ROPT. Similarly, an optimal solution for the distortion optimization problem exists when the source has an exponential D-R curve [21]. This algorithm is referred to as DOPT.…”

Section: Coding Schemesmentioning

confidence: 99%

“…In the case of a packet erasure channel, distortion-based solutions exist that are optimal for general sources [23] and for sources with convex D-R curves [24], and it has been shown that an optimal rate-based solution is essentially an equally protected system [15]. In the case of a random bit-error channel and a source with an exponential D-R curve, efficient and optimal distortion minimization is possible [21]. Numerous other techniques can be found in the above references that find locally-optimal or suboptimal solutions with varying degrees of complexity.…”

Section: Introductionmentioning

confidence: 99%

An Efficient Progressive Bitstream Transmission System for Hybrid Channels With Memory

Etemadi¹,

Jafarkhani²

2006

IEEE Trans. Multimedia

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Abstract-We consider progressive transmission over a hybrid channel introducing bit errors and packet erasures. The existing solutions are analyzed and extended to the case of a channel that exhibits memory on both bit errors and packet erasures. We then propose a simple, low-complexity coding scheme that transforms the hybrid channel into a channel with a single impairment for which various optimization techniques exist. Both rate-based and distortion-based optimization problems are investigated. It is shown that our proposed solution has lower channel coding and rate-distortion optimization complexities compared to the known solutions. Simulation results for channels with and without memory show the effectiveness of our proposed solution over a wide range of operating conditions. Numerical results also indicate that the rate-based solution of our proposed algorithm is very close to the corresponding distortion-based solution.

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“…Gradient-based techniques are also sensitive to the initial conditions, and may fail to find the global optimum. In [5], we introduced a linear complexity distortion minimization technique for channels that only introduce bit errors. This latter algorithm is globally optimal for sources with exponential DistortionRate (D-R) function (e.g., Gauss-Markov), and is also very effective for arbitrary progressively encoded sources.…”

Section: Introductionmentioning

confidence: 99%

Progressive bitstream transmission over tandem channels

Etemadi

Yousefi'zadeh

Jafarkhani

2005

IEEE International Conference on Image Processing 2005

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We propose a novel distortion minimization technique for the transmission of a packetized progressive bitstream. We consider tandem channels introducing bit errors and packet erasures. We formalize the distortion minimization problem as a constrained optimization problem and propose an algorithm that optimally allocates the available budget between the bit error and packet loss protection components. We show that our proposed optimization technique is robust and has a linear complexity in the transmission rate. Numerical results show the effectiveness of the proposed algorithm.

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A linear-complexity distortion optimal scheme for the transmission of packetized progressive bitstreams

Cited by 11 publications

References 13 publications

Distortion optimal transmission of multi-layered FGS video over wireless channels

Distortion optimal transmission of multi-layered FGS video over wireless channels

An Efficient Progressive Bitstream Transmission System for Hybrid Channels With Memory

Progressive bitstream transmission over tandem channels

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