H.263 based facial image compression for low bitrate communications

Ding, Lining; Takaya, K.

doi:10.1109/wescan.1997.627108

Cited by 5 publications

(4 citation statements)

References 2 publications

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“…We compare the proposed algorithm (PR) with other three different methods that are coding a frame without ROI (WR), coding the ROI regions by multiplying a weighting factor a (WA) [9], the three factors (TF) [6] and the proposed algorithm (PR). In WA, the weighting factor is set to be 450.…”

Section: Resultsmentioning

confidence: 99%

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Region-of-interest video coding based on rate and distortion variations for H.263+

Chi

Chen

Yeh

et al. 2008

Signal Processing: Image Communication

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Section: Resultsmentioning

confidence: 99%

“…Although the ROI has higher quality, it may discard some background information to improve the encoding speed [9]. For example, Chai et al proposed maximum bit transfer (MBT) [4] that force the coarsest quantization level the background in order to enhance the foreground.…”

Section: Introductionmentioning

confidence: 99%

Region-of-interest video coding based on rate and distortion variations for H.263+

Chi

Chen

Yeh

et al. 2008

Signal Processing: Image Communication

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“…To solve this problem we used a constant quantizer step-size for all the pictures in the sequence. This approach is also called "bypass bit rate control" as the quantizer parameter needs not be updated frame by frame [3]. The quantization parameter was set at the macroblock level.…”

Section: Experimental Set-up and Resultsmentioning

confidence: 99%

“…Notable among these include [2], [3], [4] and [5]. Most of these proposals Among these processes some functions are more complex and time consuming than the others.…”

mentioning

confidence: 99%

Context-based complexity reduction of H.264 in video over wireless applications

Sahafi

Randhawa

Hardy

IEEE 6th Workshop on Multimedia Signal Processing, 2004.

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The Achilles' heel of video over wireless services continues to be the limited bandwidth of wireless connections and short battery life of end-user handheld devices such as cell-phones and PDAs. Efficient coding and compression techniques are required to meet the QoS (Quality of Service) requirements of such services while effectively managing the aforementioned resources. H.264, the latest coding and compression standard from ITU-T, is currently dominating the field by offering a flexible architecture and compression gain of up to 50%.The compression efficiency in H.264, however, is achie\'cd at the expense of processing time. With demands for video-streaming and video-conferencing over wireless growing rapidly, the performance of H.264 for wireless and mobile platforms, in terms of picture quality, bit-rate and battery power consumption needs to be benchmarked, and the ".264 operating modes most suitable for these services need to be determined. This paper proposes strategies to reduce the complexity of various H.264 operations. Using the knowledge of the context of the scenes in the video sequences, unimportant regions in the frames are isolated and unnecessary processing is avoided. Experimental results, obtained using a test-bed, are presented to demonstrate the viability of the proposed strategies in minimizing the battery power I:onsumption by H.264 while maintaining desired frame quality and low bit-rate. Keywords-H.164; l'ariable complexit)' video coding;wireless multimedia commullications; J. INTRODUCTION Rapid proliferation of broadband wireless networks is encouraging wireless service providers to offer video services in addition to voice and low bit-rate data services. Video communication over wireless platfonns is a verychallenging task due to the limited bandwidth of wireless connections, time-varying characteristics of wireless channels and limited battery power in the handheld devices. Applications that could degrade gracefully when faced with low battery life and adapt to the fluctuations in effective bandwidth of the underlying wireless medium are highly desired. These issues become even more critical when complex video coding and compression techniques are employed to support video over wireless. The battery power in wireless handheld devices is primarily consumed 0-7803-8578-0/04/$20.00 ©2004 IEEE 23 for processing and transmission/reception of data. To achieve better image quality or higher compression gain, the video coding and compression operations need to be computationally intensive. The excessive processing in tum may adversely impact the battery life. Fortunately, the complexity of these operations can be reduced using some of the schemes proposed in literature [I]. The complexity reduction however is achieved at the expense of lower compression gain and/or inferior picture quality. In order to minimize its impact on the bit-rate and end-users'perception of picture quality, the complexity reduction should be applied only to the less significant areas of each frame in the video sequenc...

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Foreground/Background Coding

Meier¹,

Chai²

1999

Advanced Video Coding: Principles and Techniques

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H.263 based facial image compression for low bitrate communications

Cited by 5 publications

References 2 publications

Region-of-interest video coding based on rate and distortion variations for H.263+

Region-of-interest video coding based on rate and distortion variations for H.263+

Context-based complexity reduction of H.264 in video over wireless applications

Foreground/Background Coding

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