Evaluating Video Codecs

Rodríguez, Andrés; Morse, Ken

doi:10.1109/mmul.1994.318980

Cited by 12 publications

(7 citation statements)

References 10 publications

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“…Digital image compression techniques, coder/decoder (Codec), including both dedicated built-in hardware devices and carefully implemented software methods, are able to reduce the amount of video data by a ratio of 1 100 to 1 2000 [8,22]. However, most compression schemes are numerically complex and computationally intensive, in order to achieve a decent compression ratio.…”

Section: Technical Demandsmentioning

confidence: 99%

A circular skip-cluster scheme to support video-on-demand services

Chang

Shih

1999

Multimedia Systems

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The major drawback of the existing cluster placement scheme is the long response time caused by admission control if the number of clusters and the number of users are large. A circular skip-cluster placement scheme is proposed to reduce the size of the data buffer as well as the system response time. Furthermore, the popularity of each video is different in the real world. We propose a new popularitybased data allocation scheme to allocate data units within a cluster such that the corresponding data units of these popular videos are stored in those cylinders at one end of each cluster. Due to a higher spatial locality within these hot cylinders, some data units requested by the users are stored in the same cylinder such that one seek operation, one rotation, and one transfer operation are required to retrieve these data units. Therefore, the time required to retrieve data for these requests can be reduced, thus also reducing the system response time. Based on our results, the buffer size and the system response time can be reduced by half or more. These findings are essential for constructing video-on-demand systems that provide satisfactory performance.

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Section: Technical Demandsmentioning

confidence: 99%

A circular skip-cluster scheme to support video-on-demand services

Chang

Shih

1999

Multimedia Systems

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“…Rodriguez et al [12] uphold that software-only video codecs, yet less complex than hardware-assisted codecs, currently deliver a lesser quality. Even though many efforts are being deployed to offer complete software solutions, it is too early to bet on their real performance.…”

Section: Characterization Of Multimedia Resourcesmentioning

confidence: 99%

“…Such a trade-off among characteristics of a codec should appear in the model; we meet this goal in our model in section 3.2. Generic codec characteristics, as well as some of their influencing parameters, are identified by Rodriguez et al in [12]. These characteristics are:…”

Section: A Characterization Of Mpeg2 Video Codecsmentioning

confidence: 99%

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Gbaguidi

Znaty

Hubaux

1998

Journal of Network and Systems Management

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“…For multimedia applications, image quality and playback performance are two most important characteristics to judge the video codecs with [18] playback complexity of our algorithm mainly depends on how long it takes to perform the inverse wavelet transform. Although this complexity can be improved by using more powerful computers, we employ the technique shown in [6] for fast reconstruction.…”

Section: Playback Complexitymentioning

confidence: 99%

Video Compression using Adaptive Wavelet Packets and DPCM

Hsu

Derin

1997

Video Data Compression for Multimedia Computing

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This paper presents a video compression algorithm based on the adaptive wavelet packet decomposition and DPCM methods, in which, motion compensation is not used explicitly, but the effects of motion are accounted for through the low-high temporal subbanding and the DPCM procedure. The coefficients of high temporal subbands, initiallowpass sub bands and the difference of low subbands from the DPCM loop are decomposed by adaptive wavelet packets based on a rate-distortion criterion, such that the subbands of the wavelet packets are efficiently quantized by a hybrid Scalar/Pyramidal Lattice Vector quantizer. We implement two versions of the proposed coding scheme based on a rate constraint and a quality (distortion) constraint. When the rate is constrained, all frames in a "group" are processed as a unit; our objective then is to minimize the overall distortion under the rate constraint specified for that group of frames. When quality constraint is imposed, pairs of frames are sequentially encoded; our goal in this case is to ensure that the distortion in each pair of frames remains below a prespecified value and to achieve this with a minimum bit rate used to represent that pair of frames. The results of the proposed algorithm compare favorably with those of 3D subband coding and traditional motion compensated video coding techniques. Although the encoding computational complexity of this scheme is higher than that of the existing 3D subband method, it is suitable for parallel implementation.

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Evaluating Video Codecs

Cited by 12 publications

References 10 publications

A circular skip-cluster scheme to support video-on-demand services

A circular skip-cluster scheme to support video-on-demand services

Untitled

Video Compression using Adaptive Wavelet Packets and DPCM

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