Electronics and Telecommunications Research Institute

Kwangwoon University Industry-Academic Collaboration Foundation

University-Industry Cooperation Group of Kyung Hee University

Kwangwoon University Research Institute for Industry Cooperation

Sejong University

Korea Advanced Institute of Science and Technology

Seoung-Jun Oh

Chang-Beom Ahn

Dong-Gyu Sim

Yung-Lyul Lee

Jin-Woo Hong

Jeong-Il Seo

Jin Soo Choi

Gwang Hoon Park

Se Yoon Jeong

Jin Woo Hong

Sung-Chang Lim

Sea-Nae Park

Dong Gyu Sim

Hae Chul Choi

Seung Ryong Kook

Kwang-Su Jeong

Se-Yoon Jeong

Hae-Chul Choi

Jin-Woong Kim

Jae-Gon Kim

Kyu-Heon Kim

Dae-Young Jang

Seung-Kwon Beack

Kyeong-Ok Kang

In-Seon Jang

Kyung-Ae Moon

Dong-Kyun Kim

Dae-Yeon Kim

Wook-Joong Kim

Jae-Ho Hur

Ki-Hun Han

Tae-Jin Lee

Min-Hun Lee

Dong-Hyun Kim

Jin-Soo Choi

Hyoung-Jin Kwon

Joo-Young Lee

Youn-Hee Kim

Ji-Hoon Do

Jee-Hoon Kim

Kwang-Hwan Kim

Han-Sol Choi

Yun-gu Lee

Hui Yong Kim

Gun Bang

Mun Churl Kim

Jong-Ho Kim

Woong Lim

Jinho Lee

Jongho Kim

Sukhee Cho

Hahyun Lee

Ho-Chong Park

Jung-Hak Nam

Jong-Seok Lee

Jeong-II Seo

Neung-Joo Hwang

Su-Yeol Jeon

Jun-Taek Park

Yun-Gu Lee

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

The present invention relates to an image encoding and decoding technique, and more particularly, to an image encoder and decoder using unidirectional prediction. The image encoder includes a dividing unit to divide a macro block into a plurality of sub-blocks, a unidirectional application determining unit to determine whether an identical prediction mode is applied to each of the plurality of sub-blocks, and a prediction mode determining unit to determine a prediction mode with respect to each of the plurality of sub-blocks based on a determined result of the unidirectional application determining unit.

Image encoder and decoder using unidirectional prediction

There are provided a method, apparatus, system, and computer-readable recording medium for image compression. An encoding apparatus performs domain transformation and quantization on feature map information and image information. The encoding apparatus rearranges the result of domain transformation and quantization so as to have a form advantageous to the encoding procedure and encodes the result of rearrangement, thereby generating a bitstream. A decoding apparatus receives the bitstream, decodes the received bitstream, and performs inverse transformation, dequantization, and inverse rearrangement using information transmitted through the bitstream. The result of inverse transformation, dequantization, and inverse rearrangement is used for the machine-learning task of a neural network.

Method, apparatus, system and computer-readable recording medium for feature information

There are provided an apparatus, method, system, and recording medium for performing selective encoding/decoding on feature information. An encoding apparatus generates residual feature information. The encoding apparatus transmits the residual feature information to a decoding apparatus through a residual feature map bitstream. The residual feature information is the difference between feature information extracted from an original image and feature information extracted from a reconstructed image. Feature information of the reconstructed image is generated using the reconstructed image. Reconstructed feature information is generated using the feature information of the reconstructed image and reconstructed residual feature information.

Provided is an apparatus and method for encoding/decoding a moving picture based on adaptive scanning. The moving picture apparatus and method can increase a compression rate based on adaptive scanning by performing intra prediction onto blocks of a predetermined size, and scanning coefficients acquired from Discrete Cosine Transform (DCT) of a residue signal and quantization differently according to the intra prediction mode. The moving picture encoding apparatus includes: a mode selector for selecting and outputting a prediction mode; a predictor for predicting pixel values of pixels to be encoded of an input video based on the prediction mode to thereby output a residue signal block; a transform/quantization unit for performing DCT onto the residue signal block and quantizing the transformed residue signal block; and an encoder for adaptively scanning and encoding the quantized residue signal block based on the prediction mode.

Apparatus and method for encoding and decoding moving picture using adaptive scanning

Disclosed herein are a video processing method, apparatus and storage medium using the resolution of a reference picture. Filtering is performed based on resolutions of reference pictures of blocks forming a boundary. The resolutions of the reference pictures may define filtering. Depending on whether the resolutions of the reference pictures are different from each other, one or more filter selection parameters for filtering may be determined or updated. Further, based on whether the resolutions of the reference pictures are different from each other, the boundary strength of the filter may be determined. Because filtering is defined using the resolutions of reference pictures, performance of encoding and/or decoding may be improved.

Video processing method and device using resolution of reference picture, and recording medium

Disclosed herein are a method, apparatus, system, and computer-readable recording medium for image compression. An encoding apparatus performs preprocessing of feature map information, frame packing, frame classification, and encoding. A decoding apparatus performs decoding, frame depacking, and postprocessing in order to reconstruct feature map information. By encoding the feature map information, inter-prediction and intra-block prediction for a frame are performed. The encoding apparatus provides the decoding apparatus with a feature map information bitstream for reconstructing the feature map information along with an image information bitstream.

Method, apparatus, system and computer-readable recording medium for feature map information

Growing community of inventors

Seongnam-si, South Korea

Seoung-Jun Oh