Preservation of interlaced patterns in encoding video signals using side match vector quantization

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)112-120
Journal / PublicationIEEE Transactions on Consumer Electronics
Issue number1
Publication statusPublished - 1996


Vector Quantization (VQ) is a popular class of image encoding techniques which finds valuable applications in developing economical, low bit-rate video conferencing and multimedia products for the consumer's market. Recently, a new algorithm known as the Side Match Vector Quantization (SMVQ) had been proposed to enhance the visual quality of traditional VQ techniques by reducing the blocking effect based on local edge information. In this paper, we will show that despite the success of SMVQ in encoding still pictures, it does not perform equally well with interlaced video signals which contain motion contents. To overcome this problem, an algorithm known as Hybrid Side Match Vector Quantization (HSMVQ) algorithm which enable existing SMVQ to be applied to encode interlaced video signals with improved visual quality is developed and presented. Typical results obtained with HSMVQ, as compare with SMVQ are presented to demonstrate the feasibility of the approach. © 1996 IEEE.

Research Area(s)

  • (HSMVQ), Hybrid side match vector quantization, Interlaced video signal, Side match vector quantization (smvq)