Error-Resilient and Error Concealment 3-D SPIHT for Multiple Description Video Coding With Added Redundancy

Zhu, Jie; Dansereau, Richard M.

doi:10.1109/tcsvt.2011.2179453

Cited by 8 publications

(8 citation statements)

References 68 publications

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“…Let us define 3D = C 3D W 3D and˜ 3D =W 3D C T 3D . Then, utilizing (5), (8) and (9), the error concealment for the 3-D DWT codec is obtained by Algorithm 1.…”

Section: ) 3-d Dwt Is Used Instead Of 2-d Dwtmentioning

confidence: 99%

“…This approach gives relatively good reconstruction performance, especially if the lowest subbands coefficients are delivered using additional protection, such as duplication of lowest subband coefficients [3]- [5], [7], multiple description coding [8] and/or inter-packet forward error-correction [3]- [5]. If neighbor coefficients are delivered, then a lost coefficient can be interpolated [6], [9] utilizing local correlation of a subband coefficient.…”

Section: Introductionmentioning

confidence: 99%

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Error Concealment for 3-D DWT Based Video Codec Using Iterative Thresholding

2017

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Abstract-Error concealment for video coding based on a 3-D discrete wavelet transform (DWT) is considered. We assume that the video sequence has a sparse representation in a known basis different from the DWT, e.g., in a 2-D discrete cosine transform basis. Then, we formulate the concealment problem as l 1 -norm minimization and solve it utilizing an iterative thresholding algorithm. Comparing different thresholding operators, we show that video block-matching and 3-D filtering provide the best reconstruction by utilizing spatial similarity within a frame and temporal similarity between neighbor frames. Experimental results show that the proposed error concealment provides up to 6-dB improvement in the peak signal-to-noise ratio in comparison with existing recovery methods.Index Terms-Video error concealment, iterative thresholding.

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“…Let us define 3D = C 3D W 3D and˜ 3D =W 3D C T 3D . Then, utilizing (5), (8) and (9), the error concealment for the 3-D DWT codec is obtained by Algorithm 1.…”

Section: ) 3-d Dwt Is Used Instead Of 2-d Dwtmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Error Concealment for 3-D DWT Based Video Codec Using Iterative Thresholding

2017

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“…This technique produces better results but is limited to random packet loss only. To support random packet losses, the MDC is combined with Set Partitioning in Hierarchical Trees (SPIHT) to restore missing blocks [29]. To restore the region of interest, videos are transmitted in two streams, having high and low resolutions respectively [30].…”

Section: Hybrid Error Concealmentmentioning

confidence: 99%

Frame Interpolation for Cloud-Based Mobile Video Streaming

Usman

Lam

et al. 2016

IEEE Trans. Multimedia

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Cloud-based High Definition (HD) video streaming is becoming more and more popular day by day. On one hand, it is important for both end users and large storage servers to store their huge amount of data on different servers at different locations from security and mobile availability point of views, especially for end users having small amount of storage in their mobile devices. On the other hand, it is becoming a big challenge for network service providers to provide constant and reliable connectivity to the network users. There have been many studies over cloud-based video streaming for Quality of Experience (QoE) for services like Youtube. Packet losses and bit errors are very common in transmission networks, producing annoying effects such as frame freezing and blocky artifacts, which affects the user feedback over cloud-based media services. To cover up packet losses and bit errors, Error Concealment (EC) techniques are usually applied at decoder/receiver side to estimate the lost information. This paper proposes a time efficient and quality oriented EC method. The proposed method considers H.265/HEVC based Intra-encoded videos for the estimation of whole Intra-frame loss. The unsliced mode of H.265 is targeted for the proposed approach. The main emphasis in the proposed approach is the recovery of Motion Vectors (MVs) of a lost frame in real-time. The search to find the optimum MV is performed in parallel in nearby four sub-blocks in the reference frame. To boost-up the search process for the lost MVs, a bigger block size and searching in parallel are both considered. The simulation results clearly show that our proposed method outperforms the traditional Block Matching Algorithm (BMA) by approximately 2.5 dB and Frame Copy (FC) by up to 12 dB at a Packet Loss Rates of 1%, 3% and 5% with different Quantization Parameters (QPs). The computational time of the proposed approach outperforms the BMA by approximately 1,788 seconds. The proposed technique can readily be applied for real-time cloudbased HD video streaming.

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“…Therefore, since a few years ago, there has been a growing interest in the SPIHT [4,[7][8][9][10]. Even when SPIHT is not a standard, it is used in many video applications that use image compression with the embedded coding property [11][12] and medical imaging applications with SPIHT as a core [10,[13][14][15].…”

Section: Introductionmentioning

confidence: 99%

A Simple and Fast Algorithm for Image Coding Based on SPIHT

Zhang

Lin

et al. 2016

Proceedings of the 2016 2nd International Conference on Artificial Intelligence and Industrial Engineering (AIIE 2016)

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Abstract-The complicate calculation and frequent comparison based on spatial orientation tree (SOT) structure in SPIHT severely reduce the coding speed. To overcome these shortcomings, a modified image compression algorithm is proposed without SOT. The algorithm sorts the wavelet coefficients in descending order to eliminate the correlation among wavelet coefficients and obtain a one-dimensional coordinate list corresponding to the sorted wavelet coefficients. This algorithm stops the sorting pass immediately when a wavelet coefficient from the sorted coordinate list is not significant in a bit plane, which simplifies the process of scanning. Experimental results show that the proposed algorithm drastically improves the coding speed.

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Error-Resilient and Error Concealment 3-D SPIHT for Multiple Description Video Coding With Added Redundancy

Cited by 8 publications

References 68 publications

Error Concealment for 3-D DWT Based Video Codec Using Iterative Thresholding

Error Concealment for 3-D DWT Based Video Codec Using Iterative Thresholding

Frame Interpolation for Cloud-Based Mobile Video Streaming

A Simple and Fast Algorithm for Image Coding Based on SPIHT

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