Samsung Electronics Co., Ltd.

Young-Beom Jung

Hyuk-jae Jang

Hyuk Jae Jang

Woong-Hee Lee

Nyeong-Kyu Kwon

Jung Yeop Yang

Jungyeop Yang

Sharon Alpert

Jung-yeop Yang

Yo-Won Jeong

Hideki Yamauchi

Ju-won Byun

Yo-won Jeong

A data encoding apparatus includes a memory storing computer-readable instructions; and one or more processors configured to execute the computer-readable instruction such that the one or more processors are configured to, receive first video data in a macroblock unit, determine a first rounding offset value using the first video data, create second video data by applying the first rounding offset value to the first video data, determine a second rounding offset value, which is different from the first rounding offset value, using the second video data, and create a quantized coefficient by applying the second rounding offset value to the first video data.

Data encoding apparatus and data encoding method

A video decoding apparatus, a computing system including the same, and a video decoding method. The video decoding apparatus may include an entropy decoder and a video decoder. The entropy decoder may be configured to obtain encoding information of a bitstream of an encoded video from a header of the bitstream, the encoding information of the bitstream including a bit depth of the bitstream, and convert a first quantization parameter of the bitstream into a second quantization parameter when the bit depth of the bitstream is different from a reference bit depth. The video decoder may be configured to decode the bitstream based on the second quantization parameter.

Video decoding apparatus, computing system including the same, and video decoding method

An image processing method and apparatus for performing sample adaptive offset (SAO) processing are provided. The image processing method includes: performing, based on a largest coding unit (LCU) and a coding unit (CU), an encoding operation on a frame image; setting a maximum offset having a value adjusted according to a maximum transformation size in the encoding operation; and calculating, based on the set maximum offset, a sample adaptive offset (SAO) parameter for use in SAO compensation.

Image processing method and apparatus for performing sample adaptive offset processing

A video encoding apparatus includes at least one processor. The at least one processor is configured to adjust a size of a first quantization parameter with reference to a characteristic of quantization coefficients generated from input data by using the first quantization parameter, to determine the first quantization parameter of the adjusted size as a final quantization parameter, and to quantize the input data by using the final quantization parameter to generate output data.

Apparatus and method for encoding video

An encoder that performs quantization based on a deadzone and a video processing system including the encoder are provided. The encoder includes: a domain transform unit configured to transform first image data of a spatial domain into second image data of a frequency domain including first to N-th pieces of frequency data (wherein N is an integer equal to or greater than 1); a deadzone determination unit including a human visual system (HVS) table including human visual frequency sensitivities and configured to determine, based on the HVS table, a deadzone regarding each of the first to N-th pieces of frequency data; and a quantization unit configured to perform, based on the deadzone, quantization regarding the second image data.

Encoder performing quantization based on deadzone, and video processing system comprising the same

According to at least some example embodiments of the inventive concepts, an apparatus for encoding video includes a quantizer configured to, based on a size of an initial quantization parameter of input data, generate output data by quantizing the input data to increase an objective evaluation value of encoded data generated from the output data, or generate the output data by quantizing the input data to increase a subjective evaluation value of the encoded data.

Apparatus and method for encoding video and adjusting a quantization parameter

To stabilize video (an image sequence), reconstructed block data and decoding information of a video frame are received by unit of macroblock from a decoding circuit. Global affine parameters are determined and provided based on the reconstructed block data and the decoding information, and the global affine parameters represent an affine transform of a frame. Stabilized block data are provided based on the global affine parameters by compensating the reconstructed block data for an affine motion corresponding to the affine transform.

Method of stabilizing video, post-processing circuit and video decoder including the same

A motion estimation system comprises: an initializing module generating a first initial motion field by allocating an initial motion vector to each block of a first motion field related to a first motion change of an image which accompanies a change from an (n&#x2212;1)-th frame to an n-th frame and generating a second initial motion field allocating an initial motion vector to each block of a second motion field related to a second motion change of the image which accompanies a change from the n-th frame to the (n&#x2212;1)-th frame; and a candidate test module generating first and second random motion fields based on a similarity function and each block of each of the first and second initial motion fields and random motion vectors, generating first and second spatial propagation motion fields based on the similarity function, and generating first and second optimum motion fields based on the similarity function.

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Seoul, South Korea

Young-Beom Jung