Video signal coding with DCT and vector quantization

Bellifemine, Fabio; Picco, R.

doi:10.1109/tcomm.1994.577008

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…These steps have essential influence on the compressed video quality and research on this domain was published for instance in [3], [4]. In this paper the influence of entropy coding on the video sequence bit rate reduction is outlined.…”

Section: Video Data Compressionmentioning

confidence: 99%

Experimental application of channel coding for wireless transmission of compressed video data

Fryza

Prokopec

2009

2009 International Conference on Ultra Modern Telecommunications &Amp; Workshops

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The contribution presents the application of several channel coding in domain of wireless transmission. The aim is to secure the video data stream, thus the picture synchronization stays faultless. Especially, the video source coding with entropy encoders are taking into account. In the text the application of additive white gaussian noise channel and convolutional codes is outlined. As the source coding, the Three-Dimensional Discrete Cosine Transform is used.

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Section: Video Data Compressionmentioning

confidence: 99%

Experimental application of channel coding for wireless transmission of compressed video data

Fryza

Prokopec

2009

2009 International Conference on Ultra Modern Telecommunications &Amp; Workshops

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“…This error is often detectable, since the erroneously decoded frame length becomes different from the currently expected number of bits per video frame. Hence, a single bit error can force [77], Picco and Bellifemine [78], Sin and Ngan [79], Lee and Kim [80] etc. In what follows, we will contrive a range of attractive vector quantised codecs (VQCs) 1331 and comparatively study their complexity / performance equilibrium.…”

Section: Vector-quantised Video Codecsmentioning

confidence: 99%

“…Hence, a single bit error can force In the latter field of applications finite-state VQs were studied by Yu and Venetsanopoulos [7 11, and Shue, Hsieh and Chuang [72] as well as Feng, Nasrabadi and Choo [73]. A variety of multi-stage, hybrid or other VQ-based arrangements were suggested by Huang et a1 [77], Picco and Bellifemine [78], Sin and Ngan [79], Lee and Kim [80] etc. In what follows, we will contrive a range of attractive vector quantised codecs (VQCs) 1331 and comparatively study their complexity / performance equilibrium.…”

Section: Vector-quantised Video Codecsmentioning

confidence: 99%

Fixed‐rate video codecs for mobile radio systems

Streit

Hanzo

1997

Trans Emerging Tel Tech

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Abstract.A comparative study of arbitrarily programmable, but fixed-rate videophone codecs using quarter common intermediate format (QCIF) video sequences scanned at 10 frames/s is offered. In contrast to existing and forthcoming standard schemes, such as the H.261, H.263 and MPEG2, MPEG4 codecs, which rely on bandwidth-efficient but error-sensitive variable-length coding techniques combined with a complex self-descriptive bitstream structure, the proposed codecs exhibit a more robust, regular bitstream and a constant bitrate. Clearly, their philosophy is different from the above error-sensitive and variable-rate standard schemes, since these constant-rate codecs were designed to allow direct replacement of mobile radio voice codecs in second generation wireless systems, such as the Pan-European GSM, the American IS-54 and IS-95 as well as the Japanese systems, operating at 13, 8, 9.6 and 6.7 kbit/s, respectively. This philosophy can, however, be adopted to higherrate systems, such as the Digital European Cordless Telecommunications (DECT) and the Universal Mobile Telecommunications System (UMTS). The Type I codecs proposed benefit from invoking sophisticated compression technrqurs in order to achieve best video quality at a given bitrate. In contrast, the Type 2 schemes introduced maximise the codecs' error resilience at the cost of slightly reduced video quality under error-free conditions. Gain-cost quantised, tixed but arbitrarily programmable rate discrete cosine transformed (DCT) video codecs, vector-quantised (VQ) and quad-tree (QT) coded algorithms are proposed and their video quality, complexity. compression ratio and error resilience trade-offs are comparatively analysed under identical conditions. Finally, our candidate codecs are compared to the standard H261, H.263 and MPEG2 benchmark codecs. OVERVIEW OF VIDEO CODECSIn parallel to the rapid proliferation of multimedia communications services over fixed networks there is a growing demand for the added convenience of tetherless roaming. The earliest embodiment of the wireless multimedia communicator is expected to take the shape of a wireless videophone, which is likely to evolve from the family of the existing second generation mobile phones, such as the Pan-European GSM scheme [l] and video users can be accommodated by an additional speech channel. Furthermore, the codecs have to lend themselves to fixed, but programmable rate operation in the intelligent rnultimode terminals (IMTs) of the near future, which will allow tele-traffic or channel-quality motivated transceiver reconfiguration [8,9, 10, 11, 121.The theory and practice of image compression has been consolidated in a number of established monographs by Netravali and Haskell [ 131, Jain [14]

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“…In the first step towards this end, we extend the DFRNT to discrete fractional random cosine and sine transforms (DFRNCT and DFRNST). We know that the Cosine and Sine transforms and their discrete versions are useful tools in signal and image processing, such as signal coding [4], watermarking [5] and restoration of de-focused images [6]. In the Ref.…”

Section: Introductionmentioning

confidence: 99%