2006•한국멀티미디어학회 국제학술대회Requires access

BITRATE-QUANTIZATION MODEL FOR H.264 BITSTREAM TRANSCODING

Soon-kak Kwon, Jung-Hwa Lee, Jongmin Lee

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Abstract

In this paper, the relation between the rate and the quantization step size is examined for transcoding in the H.264 video coding systems, the latest video compression technique. Transcoding converts the bit stream which has been quantized by a certain quantization parameter to the desired rate through re-quantization when lower rates are required. For this type of conversion, the relation between the rate and the quantization should be defined, first of all. Hereupon, this study proposes the relation regarding the H.264 encoder and verifies the validity of the model that has been proposed in the simulation.

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What this paper is about

In this paper, the relation between the rate and the quantization step size is examined for transcoding in the H.264 video coding systems, the latest video compression technique. Transcoding converts the bit stream which has been quantized by a certain quantization parameter to the desired rate through re-quantization when lower rates are required. For this type of conversion, the relation between the rate and the quantization should be defined, first of all. Hereupon, this study proposes the relation regarding the H.264 encoder and verifies the validity of the model that has been proposed in the simulation.

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Available abstract

In this paper, the relation between the rate and the quantization step size is examined for transcoding in the H.264 video coding systems, the latest video compression technique. Transcoding converts the bit stream which has been quantized by a certain quantization parameter to the desired rate through re-quantization when lower rates are required. For this type of conversion, the relation between the rate and the quantization should be defined, first of all. Hereupon, this study proposes the relation regarding the H.264 encoder and verifies the validity of the model that has been proposed in the simulation.

Key concepts: Transcoding, Bitstream, Quantization (signal processing), Bit rate, Encoder, Computer science, Data compression, Algorithm

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