Improved ROI video coding using variable Gaussian pre-filters and variance in intensity

Karlsson, Linda; Sjöström, Mårten

doi:10.1109/icip.2005.1530054

Cited by 25 publications

(16 citation statements)

References 6 publications

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“…One category of approaches called pre-processing is to control the non-uniform distribution of distortion before encoding [26][27][28]. A common way of pre-processing is spatial blurring [26,27].…”

Section: Perceptual Model Incorporation In Video Codingmentioning

confidence: 99%

Weight-based R-λ rate control for perceptual HEVC coding on conversational videos

Deng

et al. 2015

Signal Processing: Image Communication

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Section: Perceptual Model Incorporation In Video Codingmentioning

confidence: 99%

Weight-based R-λ rate control for perceptual HEVC coding on conversational videos

Deng

et al. 2015

Signal Processing: Image Communication

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“…Low-pass filter has been conventionally used in filtering scheme (13,15) . This filter reduces the amount of bits in background region by suppressing the high-frequency components.…”

Section: Low-pass Filtermentioning

confidence: 99%

“…This scheme has the advantage that coding efficiency of background region is high, while there is restriction that we have to select video coding standard and implementation which have built-in function to control quality of a MB (13,14) .…”

Section: Introductionmentioning

confidence: 99%

“…In case of H.264 / MPEG4 AVC, range of the quality parameter is defined as value from 0 to 51. Another method for ROI coding is filtering scheme which filters background region of a picture to reduces bit amount before encoding (13)(14)(15) . For instance, a low-pass filter such as the Gaussian filter can reduce bit amount in background region.…”

Section: Introductionmentioning

confidence: 99%

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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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“…Similarly in [4] and [5] the quality improvement is presented as gains in PSNR and using visual evidence of video frames to highlight the reduction of artefacts. The authors of [6] have used variable Gaussian pre-processing filters which are controlled by a quality map which is used to indicate the distance to the region of interest. They have used PSNR as the objective video quality metric to show that by using a variable number of Gaussian filters there is an improvement in the perceptual quality.…”

Section: Introductionmentioning

confidence: 99%

Investigation of the effectiveness of video quality metrics in video pre-processing

Chilukamari

Kannangara

Maxwell

2013

2013 IEEE Third International Conference on Consumer Electronics ¿ Berlin (ICCE-Berlin)

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Improved ROI video coding using variable Gaussian pre-filters and variance in intensity

Cited by 25 publications

References 6 publications

Weight-based R-λ rate control for perceptual HEVC coding on conversational videos

Weight-based R-λ rate control for perceptual HEVC coding on conversational videos

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

Investigation of the effectiveness of video quality metrics in video pre-processing

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