An effective motion vector re-estimation method for low bit-rate video transcoding

June Sok Lee; Goo Rak Kwon; Jae Won Kim; Nam Hyeong Kim; Sung Jea Ko

doi:10.1016/j.rti.2004.08.004

An effective motion vector re-estimation method for low bit-rate video transcoding

June Sok Lee, Goo Rak Kwon, Jae Won Kim, Nam Hyeong Kim, Sung Jea Ko

School of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

Abstract

For the low bit-rate multimedia communications, video contents have to be transcoded according to the requirements of network bandwidth and the performance of clients. However, transcoding to the low bit-rate creates video quality degradation (drift error) caused by quantization, motion vector truncation, and downsizing. In this paper, we present an effective motion vector reestimation method to compensate drift errors in the spatial resolution reduction transcoding. Experimental results show that our method can preserve image quality while transcoding to the low bit-rate.

Original language	English
Pages (from-to)	325-329
Number of pages	5
Journal	Real-Time Imaging
Volume	10
Issue number	5
DOIs	https://doi.org/10.1016/j.rti.2004.08.004
Publication status	Published - 2004 Oct

ASJC Scopus subject areas

Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/j.rti.2004.08.004

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abstract = "For the low bit-rate multimedia communications, video contents have to be transcoded according to the requirements of network bandwidth and the performance of clients. However, transcoding to the low bit-rate creates video quality degradation (drift error) caused by quantization, motion vector truncation, and downsizing. In this paper, we present an effective motion vector reestimation method to compensate drift errors in the spatial resolution reduction transcoding. Experimental results show that our method can preserve image quality while transcoding to the low bit-rate.",

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AU - Ko, Sung Jea

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AB - For the low bit-rate multimedia communications, video contents have to be transcoded according to the requirements of network bandwidth and the performance of clients. However, transcoding to the low bit-rate creates video quality degradation (drift error) caused by quantization, motion vector truncation, and downsizing. In this paper, we present an effective motion vector reestimation method to compensate drift errors in the spatial resolution reduction transcoding. Experimental results show that our method can preserve image quality while transcoding to the low bit-rate.

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An effective motion vector re-estimation method for low bit-rate video transcoding

Abstract

ASJC Scopus subject areas

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