Encoder Rate Control for Transform Domain Wyner-Ziv Video Coding

Brites, Catarina; Pereira, Fernando

doi:10.1109/icip.2007.4379078

Cited by 104 publications

(78 citation statements)

References 8 publications

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“…The compression performance of the proposed feedback-free system is compared to a collection of alternative feedback-based DVC systems, including the benchmark DISCOVER [13] codec. The experimental results show that the proposed feedback-free architecture achieves similar or superior compression performance with respect to DISCOVER [13], which is noteworthy considering that most feedbackchannel-free systems in the literature are significantly falling behind DISCOVER [14][15][16]. A last set of experiments confirms the low-complexity encoding characteristics and the beneficial effect of the proposed scheme on the decoding complexity.…”

Section: Introductionsupporting

confidence: 67%

“…At the encoder, the quantized symbols of original WZ frames as well as the coarse SI frames undergo Gray mapping [24] prior to SW coding. Additionally, an updated form of the closed-form formula in [14] yields the estimated SW rate. At the decoder, the reconstruction [25] of the coefficients was modified to cope with any bit-planes of the quantization indices that failed to decode.…”

Section: Feedback-free Dvc Solutionsmentioning

confidence: 99%

“…The first motion estimation algorithm to generate an approximation of the SI at the encoder was proposed in [14] and integrated in a TDWZ architecture. In essence, the algorithm constitutes a low-complexity variant of the motion-compensated interpolation (MCI) method employed by the decoder to generate SI.…”

Section: Feedback-free Dvc Solutionsmentioning

confidence: 99%

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Encoder-driven rate control and mode decision for distributed video coding

Verbist

Deligiannis

Satti

et al. 2013

EURASIP J. Adv. Signal Process.

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To provide low-complexity encoding for video in unidirectional or offline compression scenarios, this paper proposes an efficient feedback-channel-free distributed video coding architecture featuring a novel encoder-driven rate control scheme in tandem with a designated mode selection process. To this end, the encoder features a novel low-complexity motion estimation technique to approximate the side-information (SI) available at the decoder. Then, a SI-dependent correlation channel estimation between the approximated SI and the original frames is used to derive the theoretically required rate for successful Slepian-Wolf (SW) decoding. Based on the evaluation of the expected trade-off between the estimated required coding rate and the estimated distortion outcome, a novel encoder-side mode decision module assigns a different coding mode to distinct portions of the coded frames. In this context, skip, intra and SW coding modes are supported. To reduce the effect of underestimation, the final SW rate is adjusted upwards using a novel rate formula. Additionally, a successive SI refinement technique is exploited at the decoder to decrease the number of SW decoding failures. Experimental results illustrate the benefit of the different coding options and show similar or superior compression performance with respect to the feedback-based DISCOVER benchmark system. Finally, the low-complexity encoding characteristics of the proposed system are confirmed, as well as the beneficial impact of the proposed scheme on the decoding complexity.

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Section: Introductionsupporting

confidence: 67%

Section: Feedback-free Dvc Solutionsmentioning

confidence: 99%

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Encoder-driven rate control and mode decision for distributed video coding

Verbist

Deligiannis

Satti

et al. 2013

EURASIP J. Adv. Signal Process.

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“…Figure 3 shows that the PSNR decreased as the  increased. The PSNR of the DVPC decreased less than that of the LDPC-based DVC [7] by approximately 0.15 dB in the 'Foreman'. In order to compare the time complexity based on different channel codes with no loss, we calculated the Average Time Save (ATS) ratios between the LDPC-based DVC [7] and the DVPC scheme.…”

Section: Resultsmentioning

confidence: 99%

Error Resilient Video Coding for Wireless Visual Sensor Network

Yang

Qing

Peng

et al. 2017

Proceedings of the IS4SI 2017 Summit DIGITALISATION FOR a SUSTAINABLE SOCIETY, Gothenburg, Sweden, 12–16 June 2017.

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Abstract:This work proposes an error-resilient video coding scheme for improving the ecosystem of Wireless Visual Sensor Network (WVSN). In order to optimize the video information communication over WVSN, this work first provides a discussion on ecology technology model of video transmission in the WVSNs. And then proposes a Distributed Video Parallel Coding scheme, which make use of the correlation of video information in the decoder side, to cope with the loss of video data over wireless error-prone channel. Specifically, this work proposes a Partition Irregular Repeat Accumulate codec, which exhibits better error resilience performance and obtain the same compression ratio with traditional video coding method. The experimental results indicate that the performance of the proposed Distributed Video Parallel Coding scheme is promising and can better optimize the ecosystem of video communication over WVSN.

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“…분산 비디오 부호화 방법은 입력 영상을 키 프레임과 WZ (Wyner-Ziv) 프레임으로 나눈 후, 키 프레임은 H.264/ AVC 등 기존의 인트라 부호화 방식으로, WZ 프레임은 Wyner-Ziv 방식으로 부호화한다. Wyner-Ziv 부호화는 입 력영상을 DCT (Discrete Cosine Transform) 변환과 양자화 한 후, Turbo 코드나 LDPC (Low-Density Parity-Check Accumulate) 코드 등으로 채널 부호화를 수행한다 [3][4][5][6][7][8] . [9] .…”

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Transcoding from Distributed Video Coding to H.264/AVC Based on Motion Vectors of Side Information

Min¹,

Yoo²,

Sim

2011

Journal of Broadcast Engineering

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In this paper, a transcoding method with low computational complexity and high coding efficiency is proposed to transcode distributed video coding (DVC) bitstreams to H.264/AVC ones. For the proposed high-performance transcoding with low complexity, not only Wyner-Ziv frames but also key frames can be transcoded with motion vectors estimated in generation of side information. As a motion vector is estimated from a key frame to a prior key frame for side information generation, the motion vector can be used to encode the intra key frame as a predicted frame. Motion estimation is performed with two predicted motion vectors. One is the motion vector from side information generation and the other is median of motion vectors of neighboring blocks. The proposed method selects the best motion vector between two motion vectors based on rate-distortion optimization. Coding efficiency can be improved with a small size of search range, because a motion vector estimated in side information generation is used as an initial motion vector for transcoding. In the experimental results, complexity of transcoder is reduced about 12% and bitrate performance increases about 28.7%.

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Encoder Rate Control for Transform Domain Wyner-Ziv Video Coding

Cited by 104 publications

References 8 publications

Encoder-driven rate control and mode decision for distributed video coding

Encoder-driven rate control and mode decision for distributed video coding

Error Resilient Video Coding for Wireless Visual Sensor Network

Transcoding from Distributed Video Coding to H.264/AVC Based on Motion Vectors of Side Information

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