Conversational Video Communication of H.264/AVC with Region-of-Interest Concern

Liu, Y.; Li, Z.; Soh, Yeng Chai; Loke, Mei Hwan

doi:10.1109/icip.2006.312936

Cited by 17 publications

(15 citation statements)

References 8 publications

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“…Currently, a great deal ofresearch is devoted to ROI-based video coding [3]- [5]. In [3], a MB-layer rate control method is proposed for ROI-based H.264/AVC video coding.…”

Section: Introductionmentioning

confidence: 99%

“…In [3], a MB-layer rate control method is proposed for ROI-based H.264/AVC video coding. The proposed method utilizes the ratio between the mean of absolute differences (MAD) of each MB and the average M\AD of all MBs as the weight factor and integrates it into the MB-layer QP decision function.…”

Section: Introductionmentioning

confidence: 99%

“…For H.264/AVC, the default frame-layer rate control method in JM12. 3 [12] is employed associated with our AFCS method to achieve the goal of ROI-based coding.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Frequency Coefficient Suppression for ROI-Based H.264/AVC Video Coding

Zheng¹,

Tian²,

Chen³

2008

2008 IEEE International Conference on Networking, Sensing and Control

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In this paper, we present a novel adaptive frequency coefficient suppression technique (AFCS) for region-of-interest (ROI) based H.264/AVC video coding. With the consideration of human visual system (HVS), AFCS can adaptively suppress the selective frequency coefficients of 4 x 4 blocks in non-ROI. Many bits for non-ROI are thus saved and reallocated to ROI to improve its visual quality. In addition, unlike most of the existing ROI-based methods based on the MB-layer rate control method, any frame-layer rate control method can be adopted in our scheme, which reduces the computational overhead of the encoder.

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“…Currently, a great deal ofresearch is devoted to ROI-based video coding [3]- [5]. In [3], a MB-layer rate control method is proposed for ROI-based H.264/AVC video coding.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive Frequency Coefficient Suppression for ROI-Based H.264/AVC Video Coding

Zheng¹,

Tian²,

Chen³

2008

2008 IEEE International Conference on Networking, Sensing and Control

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“…We expect that combination of face detection and ROI coding resolves cost problem of video surveillance systems. The simplest method for ROI coding is QP control scheme, which uses built-in function for quality control (10,11) .…”

Section: Introductionmentioning

confidence: 99%

Filtering Scheme for ROI Coding by Dynamic Range Compression and Updating Source Picture Filter

Sakomizu

Nishi

Onoye

2016

Proceedings of the 4th IIAE International Conference on Intelligent Systems and Image Processing 2016

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The region of interest (ROI) coding, which compresses background region more strongly than foreground region, is valuable technology in restricted communication environments such as limited bandwidth and/or storage capacity. This paper proposes a filtering scheme which reduces bit amount by filtering background region in order to support efficient ROI coding on ordinary devices without equipping ROI coding functionality. In particular, dynamic range compression (DRC) filter and updating source picture (USP) filter are added to a low-pass filter, which has been used for conventional filtering scheme. The DRC filter compresses dynamic range of all pixels by down-scaling. The USP filter measures distance between current and previous picture by block basis, and then overwrites the block of the current picture when the distance is smaller than predetermined threshold. Experimental results show that the proposed filtering scheme reduces bit-rate by half compared to the conventional low-pass filter as PSNR-Y of background region is about 30 dB. Compared to uniform quality coding, the proposed filtering scheme reduces bit-rate by 62 %. These results promise to cut down on cost of communication and storage.

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“…Generally speaking, the scenarios can not be determined beforehand while the motion vector in the current frame is not according with that in the previous frame in the active regions. The ROI detection method in [5] uses direct MAD [6] to denote their importance of each MB and detect ROI before the ME. However, this method induce block artifacts at the edge of ROI while a weighted 3×3 mean filter impairs the visual quality of the ROI as a remediation method, though the dilemma is solved.…”

Section: Introductionmentioning

confidence: 99%

A Novel ROI-Based Rate Control Scheme for H.264

Shi

Yue

Yin

et al. 2008

2008 the 9th International Conference for Young Computer Scientists

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For the limited bandwidth and other limiting factors in the video coding, the visual quality always cannot satisfy the clients, especially the subjective visual quality. This paper proposes a novel ROI-based rate control scheme for H.264/AVS, aiming at improving the subjective visual quality. In our scheme, an efficient method is presented for extracting Region-of-Interest (ROI) adaptively and exactly with introducing some new concepts. Relatively more bits are allocated to Region-of-Interest and the frames with high complexity. The extensive experimental results show that proposed rate control scheme can control bit rates more accurately and achieve better subjective visual quality than the rate control scheme JVT-G012 in the latest JVT H.264/AVC reference model JM11.0.

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Conversational Video Communication of H.264/AVC with Region-of-Interest Concern

Cited by 17 publications

References 8 publications

Adaptive Frequency Coefficient Suppression for ROI-Based H.264/AVC Video Coding

Adaptive Frequency Coefficient Suppression for ROI-Based H.264/AVC Video Coding

Filtering Scheme for ROI Coding by Dynamic Range Compression and Updating Source Picture Filter

A Novel ROI-Based Rate Control Scheme for H.264

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