Electronics and Telecommunications Research Institute

Sejong University

Kwangwoon University Research Institute for Industry Cooperation

Kwangwoon University Industry-Academic Collaboration Foundation

Seoul National University

Seung-Kwon Beack

Jin-Woo Hong

Jeong-Il Seo

Dae-Young Jang

Jin-Woong Kim

In-Seon Jang

Tae-Jin Lee

Yong-Ju Lee

Dong-Gyu Sim

Se-Yoon Jeong

Chang-Beom Ahn

Yung-Lyul Lee

Seoung-Jun Oh

Jae-Gon Kim

Hae-Chul Choi

Kyung-Ae Moon

Dong-Kyun Kim

Kyeong-Ok Kang

Dae-Yeon Kim

Jae-Hyoun Yoo

Ho-Chong Park

Kyeongok Kang

Chieteuk Ahn

Seung-Hyun Cho

Hui-Yong Kim

Jong-Ho Kim

Young-cheol Park

Jin-Soo Choi

Woong Lim

Joo-Young Lee

Hyunsuk Ko

Youn-Hee Kim

Jin-Wuk Seok

Jeong-II Seo

Koeng-Mo Sung

In-Yong Choi

Su-Yeol Jeon

Min-Je Kim

Rin-Chul Kim

Seong-Jun Oh

Sang-Bae Chon

The present invention discloses an encoding apparatus using a Discrete Cosine Transform (DCT) scanning, which includes a mode selection means for selecting an optimal mode for intra prediction; an intra prediction means for performing intra prediction onto video inputted based on the mode selected in the mode selection means; a DCT and quantization means for performing DCT and quantization onto residual coefficients of a block outputted from the intra prediction means; and an entropy encoding means for performing entropy encoding onto DCT coefficients acquired from the DCT and quantization by using a scanning mode decided based on pixel similarity of the residual coefficients.

Apparatus for encoding and decoding image using adaptive DCT coefficient scanning based on pixel similarity and method therefor

Disclosed herein is a context-adaptive entropy model for end-to-end optimized image compression. The entropy model exploits two types of contexts. The two types of contexts are a bit-consuming context and a bit-free context, respectively, and these contexts are classified depending on the corresponding context requires the allocation of additional bits. Based on these contexts, the entropy model may more accurately estimate the distribution of each latent representation using a more generalized form of entropy models, thus improving compression performance.

Method and apparatus for image processing using context-adaptive entropy model

The present research relates to controlling rendering of multi-object or multi-channel audio signals. The present research provides a method and apparatus for controlling rendering of multi-object or multi-channel audio signals based on spatial cues in a process of decoding the multi-object or multi-channel audio signals. To achieve the purpose, the method suggested in the research controls rendering in a spatial cue domain in the process of decoding the multi-object or multi-channel audio signals.

Method and apparatus for control of randering multiobject or multichannel audio signal using spatial cue

Provided are an apparatus and method for coding and decoding a multi-object audio signal. The apparatus includes a down-mixer for down-mixing the audio signals into one down-mixed audio signal and extracting supplementary information including header information and spatial cue information for each of the audio signals, a coder for coding the down-mixed audio signal, and a supplementary information coder for generating the supplementary information as a bit stream. The header information includes identification information for each of the audio signals and channel information for the audio signals.

Apparatus and method for coding and decoding multi-object audio signal with various channel

Provided is a method and apparatus for generating a side information bitstream of a multi-object audio signal. The apparatus for generating a side information bitstream of a multi-object audio signal includes a spatial cue information input unit configured to receive spatial cue information generated in an encoder of the multi-object audio signal, a preset information input unit configured to receive preset information for the multi-object audio signal, and a side information bitstream generator configured to generate the side information bitstream based on the spatial cue information and the preset information. The side information bitstream includes a header region and a frame region, and the preset information is included in the frame region.

Method and apparatus for generating side information bitstream of multi-object audio signal

Provided are an apparatus and method for coding and decoding a multi object audio signal with multi channel. The apparatus includes: a multi channel encoding means for down-mixing an audio signal including a plurality of channels, generating a spatial cue for the audio signal including the plurality of channels, and generating first rendering information including the generated spatial cue; and a multi object encoding unit for down-mixing an audio signal including a plurality of objects, which includes the down-mixed signal from the multi channel encoding unit, generating a spatial cue for the audio signal including the plurality of objects, and generating second rendering information including the generated spatial cue, wherein the multichannel encoding unit generates a spatial cue for the audio signal including the plurality of objects regardless of a Coder-DECoder (CODEC) scheme the limits the multi channel encoding unit.

Apparatus and method for coding and decoding multi object audio signal with multi channel

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Seoul, South Korea

Seung-Kwon Beack