Abstract: An image encoding/decoding method may comprise deriving at least one merge candidate of a current block, generating an initial merge candidate list of the current block by using the derived at least one merge candidate and generating a reconfigured merge candidate list by using the initial merge candidate list.

Abstract: An image encoding/decoding method may comprise deriving at least one merge candidate of a current block, generating an initial merge candidate list of the current block by using the derived at least one merge candidate and generating a reconfigured merge candidate list by using the initial merge candidate list.

Abstract: An image encoding method and an image decoding method are provided. The image decoding method includes deriving a temporal merge candidate from a co-located block of a current block, generating a merge candidate list of the current block based on the derived temporal merge candidate, and generating a prediction block of the current block based on the generated merge candidate list. The deriving a temporal merge candidate includes scaling a motion vector derived from the co-located block based on a POC difference value between the current block and a reference picture of the current block and a POC difference value between the co-located block and a reference picture of the co-located block, and modifying the scaled motion vector based on motion vector scaling information between a neighboring block of the current block and a co-located block of the neighboring block.

Abstract: The present invention relates to an olefin-based copolymer of which soluble fraction at a low temperature has a high weight average molecular weight, and which has high flowability and improved physical properties of hardness, flexural strength, tearing strength, etc., and a method for preparing the same.

Abstract: The present invention relates to a method and apparatus for video encoding/decoding by using a geometric modified picture. The encoding method according to the present invention includes: generating a geometric modified picture by geometrically modifying a reference picture; and generating a first prediction block of a current block by performing inter prediction referencing the geometric modified picture.

Abstract: Provided is an image processing device configured to compress first image data. The image processing device includes an encoding circuit configured to compress the first image data into second image data including prediction data and residual data, compress the second image data into third image data by performing entropy encoding on the second image data, generate a header representing a compression ratio of the third image data, and store the third image data along with the header in a memory device as compressed first image data.

Abstract: Provided are a stream reprocessing system on chip (SoC) and a method for operating the same is provided. The stream reprocessing system includes a plurality of processors including a central processing unit (CPU); a memory controller configured to receive a stream; and a stream reprocessor configured to perform reprocessing the stream, wherein the stream reprocessor includes: a control unit configured to determine whether to perform the reprocessing on the stream; a reprocessing unit configured to reprocess the stream based on receiving a command to perform the reprocessing on the stream from the control unit; and an output unit configured to transmit the reprocessed stream to a memory.

Abstract: An image processing device for performing a data decompression is provided. The image processing device includes a decoder circuit having a plurality of stages for decompressing compressed image data of a plurality of pixels. The decoder circuit is configured to divide the pixels into a plurality of groups. The first stage performs prediction compensation on the compressed image data of a first pixel of the first group at a first time to generate first prediction data, and performs the prediction compensation on the compressed image data of a second pixel of the first group at a second time using the first prediction data. The second stage performs the prediction compensation on the compressed image data of a first pixel of the second group at the second time using the first prediction data, to generate second prediction data.

Abstract: Provided are a stream reprocessing system on chip (SoC) and a method for operating the same is provided. The stream reprocessing system includes a plurality of processors including a central processing unit (CPU); a memory controller configured to receive a stream; and a stream reprocessor configured to perform reprocessing the stream, wherein the stream reprocessor includes: a control unit configured to determine whether to perform the reprocessing on the stream; a reprocessing unit configured to reprocess the stream based on receiving a command to perform the reprocessing on the stream from the control unit; and an output unit configured to transmit the reprocessed stream to a memory.

Abstract: An image processing device includes a multimedia intellectual property (IP) block which processes image data including a first component and a second component; a memory; and a frame buffer compressor (FBC) which compresses the image data to generate compressed data and stores the compressed data in the memory. The frame buffer compressor includes a logic circuit which controls a compression sequence of the first component and the second component of the image data.

Abstract: The present disclosure provides an image processing device. The image processing device includes a multimedia processor and a frame buffer compressor. For example, the frame buffer compressor performs a first compression on first image data including at least a most significant bit (MSB) of the image data of the pixel. The frame buffer compressor performs a second compression on second image data including at least a least significant bit (LSB) of the image data of the pixel. According to techniques described herein, a compression type of the first compression (e.g., a compression type based on a constant bit rate (CBR) mode, fixed bit coding, quad-tree coding, etc.) is different from a compression type of the second compression (e.g., a compression type based on a variable bit rate (VBR) mode, Golomb-Rice coding, Huffman coding, etc.).

Abstract: An image processing device includes a multimedia intellectual (IP) block which processes image data; a memory; and a frame buffer compressor (FBC) which compresses the image data to generate compressed data and stores the compressed data in the memory. The frame buffer compressor includes a logic circuit which determines a combination of a quantization parameter (QP) table and an entropy table and controls compression of the image data based on the determined combination of the QP table and the entropy table.

Abstract: Provided is an image processing device configured to compress first image data. The image processing device includes an encoding circuit configured to compress the first image data into second image data including prediction data and residual data, compress the second image data into third image data by performing entropy encoding on the second image data, generate a header representing a compression ratio of the third image data, and store the third image data along with the header in a memory device as compressed first image data.

Abstract: An image processing device includes a multimedia IP including a plurality of IP cores, at least one of which processes image data to generate source data, a frame buffer compressor, shared by the plurality of IP cores, compressing the source data to generate compressed data, and a memory coupled to the frame buffer compressor and accessed by the multimedia IP through the frame buffer compressor so that the compressed data is stored in the memory. The frame buffer compressor includes a quantization module which performs quantizing on the source data to generate recon data and a prediction module which executes intra-prediction on the recon data to generate prediction data.

Abstract: Provided is an image processing device configured to compress first image data. The image processing device includes an encoding circuit configured to compress the first image data into second image data including prediction data and residual data, compress the second image data into third image data by performing entropy encoding on the second image data, generate a header representing a compression ratio of the third image data, and store the third image data along with the header in a memory device as compressed first image data.

Abstract: An image processing device for performing a data decompression is provided. The image processing device includes a decoder circuit having a plurality of stages for decompressing compressed image data of a plurality of pixels. The decoder circuit is configured to divide the pixels into a plurality of groups. The first stage performs prediction compensation on the compressed image data of a first pixel of the first group at a first time to generate first prediction data, and performs the prediction compensation on the compressed image data of a second pixel of the first group at a second time using the first prediction data. The second stage performs the prediction compensation on the compressed image data of a first pixel of the second group at the second time using the first prediction data, to generate second prediction data.

Abstract: An image processing device for performing a data decompression is provided. The image processing device includes a decoder circuit having a plurality of stages for decompressing compressed image data of a plurality of pixels. The decoder circuit is configured to divide the pixels into a plurality of groups. The first stage performs prediction compensation on the compressed image data of a first pixel of the first group at a first time to generate first prediction data, and performs the prediction compensation on the compressed image data of a second pixel of the first group at a second time using the first prediction data. The second stage performs the prediction compensation on the compressed image data of a first pixel of the second group at the second time using the first prediction data, to generate second prediction data.

Abstract: A video encoding apparatus may include a partitioning unit which divides a frame included in input video into a plurality of blocks and a rate control module which adjusts a first quantization parameter value of a block corresponding to a region of interest among the plurality of blocks based on a first CBF (current buffer fullness) value of the region of interest, and adjusts a second quantization parameter value of a block corresponding to a non-region of interest among the plurality of blocks based on a second CBF value of the non-region of interest.

Abstract: An image processing device includes a multimedia intellectual property (IP) block which processes image data including a first component and a second component; a memory; and a frame buffer compressor (FBC) which compresses the image data to generate compressed data and stores the compressed data in the memory. The frame buffer compressor includes a logic circuit which controls a compression sequence of the first component and the second component of the image data.

Abstract: An image processing device includes a frame buffer compressor, which is configured to: (i) compress source data into compressed data having CRC bits appended thereto, and (ii) decompress the compressed data into output data and use the CRC bits to check for errors in the output data. A multimedia device is provided, which is configured to generate the source data in response to raw data. A memory device is provided, which is configured to store the compressed data. The frame buffer compressor may include an encoder configured to compress the source data into the compressed data with the CRC bits appended thereto, and a decoder configured to decompress the compressed data into the output data. The encoder may include a prediction module, which is configured to generate prediction data including reference data and residual data, from the source data.