Multiple block-size transform video coding using a subband structure

Chen, T.-C.; Fleischer, P.E.; Tzou, Kou-Hu

doi:10.1109/76.109147

Cited by 19 publications

(2 citation statements)

References 21 publications

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“…The left image of the stereo pair is split into four bands using 2-tap filters. The use of 2-tap filters as opposed to the use of longer tap filters was found more favorable [10], especially for images containing sharp edges. The main reasons are the low hardware complexity and minimal response spread in the vicinity of edges.…”

Section: Decomposition Of the Leff Image And Coding Of Tile Subbandsmentioning

confidence: 92%

Coding of stereoscopic images

Ozkan

Salari

1993

SPIE Proceedings

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Stereo images are used in many applications including Autonomous Vehicle Navigation, Geoscience and Machine Vision. The storage and transmission of the stereo images involve large amounts of data.Therefore, efficient coding techniques are required to encode the two correlated stereo image pairs with low bit rates. This paper presents two techniques to compress stereo image data. The proposed schemes are based on Subband Coding and Disparity Compensation (DC). DC, which is similar to motion compensation, exploits the redundancy that exists between two stereo images. In the first method, the two images are decomposed into four subbands using two-tap filters. The lowest band of the left image is coded using block DPCM and DC is applied to code the lowest band of the right image. The high bands are directly quantized and PCM coded. The coding is adaptive in the sense that different quantizers are selected based on the activity of each block. In the second method, Disparity Compensated Interpolative Predictive Coding, DC is applied to the original images and proceeds in a different way. To find the differential signals, the pixels in each block of the right image are divided into two groups, P1 and P2. P1 pixels are predicted by the corresponding pixels in its matching block and P2 pixels are predicted interpolatively by the decoded P1 pixels.Finally, a method for the lossless coding of the disparity information is presented. The proposed lossless scheme reduces the overhead information and the search efforts.

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Section: Decomposition Of the Leff Image And Coding Of Tile Subbandsmentioning

confidence: 92%

Coding of stereoscopic images

Ozkan

Salari

1993

SPIE Proceedings

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“…Lastly, let us take the layered video coding technique [9] as an example to explain the characteristic that packets in the same connection may require different reliabilities. In a 2-layer video coding, the video data is classified into two categories.…”

Section: Introductionmentioning

confidence: 99%

MHTP-a multimedia high-speed transport protocol

Huang

Lee

[Conference Record] GLOBECOM '92 - Communications for Global Users: IEEE

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In considering transport layer protocol for multimedia applications in high speed networks, several characteristics of multimedia applications have to be considered. These characteristics include high speed transmission capability, real-time constraints, large bandwidth required by applications, and packet lost of some percentage is acceptable in some multimedia applications. In this paper, we propose a transport layer protocol for high speed multimedia applications, namely MHTP (Multimedia High-speed Transport Protocol), to resolve problems we will face in interworking multimedia systems using high speed networks.

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A novel fast three-step search algorithm for block-matching motion estimation

Booth

Noras

1997

Computer Vision — ACCV'98

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Multiple block-size transform video coding using a subband structure

Cited by 19 publications

References 21 publications

Coding of stereoscopic images

Coding of stereoscopic images

MHTP-a multimedia high-speed transport protocol

A novel fast three-step search algorithm for block-matching motion estimation

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