Hfi Innovation Inc.

Qualcomm Incorporated

Beijing Dajia Internet Information Technology Co., Ltd.

Mediatek Corporation

China Medical University

China Medical University Hospital

Mediatek Singapore Pte. Ltd.

National Yang Ming Chiao Tung University

Tsinghua University

Hiwin Technologiescorp.

Shine-On Biomedical Co., Ltd.

Yi-Wen Chen

Jian-Liang Lin

Marta Karczewicz

Wei-Jung Chien

Yu-Wen Huang

Xianglin Wang

Yu-Chen Sun

Jianle Chen

Jicheng An

Hsiao-Chiang Chuang

Li Feng Zhang

Xiang Yang Li

Tzu-Der Chuang

Yu Wang

Shaw-Min Lei

Xiaoyu Xiu

Yu-Pao Tsai

Shan Liu

Kai Zhang

Xianguo Zhang

Ching-Yeh Chen

Vadim Seregin

Jungsun Kim

Chih-Ming Fu

Sungwon Lee

Cheng-Ting Shih

Xin Zhao

Tsung-Chuan Ma

Na Zhang

Feng Zou

Wang-Lin Lai

Yu-Lin Chang

Bing Yu

Han Huang

Yung-Hsuan Chao

Wang Lin Lai

Der-Yang Cho

Shao-Chih Chiu

Chi-Ling Wu

Kai-Wen Kan

Ming-You Shie

Chih-Wei Hsu

Adarsh Krishnan Ramasubramonian

Rajan Laxman Joshi

Muhammed Zeyd Coban

Wei Chen

Hong-Jheng Jhu

Shih-Ta Hsiang

Nan Hu

Che-Wei Kuo

Kai-Tai Song

Shuiming Ye

Yu-Chuan Lin

Shi-Wei Huang

Chih-Ming Pan

Yih-Lin Cheng

Chao-Yu Lin

Mei-Chih Chen

Yeh Chen

Guoxin Jin

Hung-Chuan Hsu

Yi-Chiao Wu

Chen-Yu Chiang

Sin-Horng Chen

Jane Wang

Yi-Cheng Liu

Wen-Hsiao Peng

Yu-Fen Chen

Shufei Fan

Chien-Chang Chen

Wei-Chuan Chen

Shuo-Cheng Chien

Hsin-Yuan Fang

Min-Hua Yu

Cheng-Yu Chen

A phantom-free calibration method for a computerized tomography scan has the steps of: scanning a plurality of homogeneous human tissues with a computerized tomography scanner and obtaining homogeneous human tissue scan information; scanning a tissue to be tested with the computerized tomography scanner and obtaining tissue to be tested scan information; calculating a spectral characteristic parameter of the computerized tomography scanner with a computing device using a model, wherein a standard tissue parameter of the homogeneous human tissues and the human tissue scan information are used in the model; and calculating a tissue parameter of the tissue to be tested with the computing device using the model, wherein the spectral characteristic parameter and the tissue to be tested scan information are inputted in the model. The phantom-free calibration method makes the tissue parameters of the tissue to be tested more accurate and the calibration process easier and more convenient.

Phantom-free calibration method for a computerized tomography scan

The present disclosure provides a fusion protein and the nucleic acid encoding sequence thereof, and uses of the same. The fusion protein of the present disclosure achieves the effect of treating cancer, immunoregulation and activating immune cells through various efficacy experiments.

Fusion protein and nucleic acid encoding sequence thereof, and uses of the same

Present invention is related to a tumor microenvironment on chip or a biochip for cell therapy having a carrier, a first cell or tissue culture area and a second cell or tissue area imbedded within the carrier. The present invention provides a biochip successfully cooperating micro fluidic technology and cell culture achieving the goal for detecting or testing the function of cell therapy for cancer or tumor.

Tumor microenvironment on chip

A method for coding video data comprises receiving a video picture comprising a plurality of coding units. The picture is divided into multiple non-overlapped blocks. An encoder calculates a hash value of each block of the multiple non-overlapped blocks. All the non-overlapped blocks are classified into at least two categories comprising a first category and a second category. The first category comprises one or more blocks representing one or more hash values covered by a first set of hash values, and the second category comprises all remaining blocks. The blocks in the second category are classified into at least two groups including a first group. The first group comprises one or more blocks representing the same hash value as another block in the second category. An associated computing device and a non-transitory computer readable storage medium are also provided.

Intra block copy for screen content coding

A method for video coding is provided, including: providing a motion vector (MV) rounding process that is configured to perform a MV rounding operation; applying the MV rounding process to at least a first MV used in a first prediction tool selected from a first set of tools including: pair-wise merge candidate, triangle prediction mode, and affine mode; and applying the MV rounding process to at least a second MV used in a second prediction tool selected from a second set of tools including: temporal motion vector prediction (TMVP), alternative temporal motion vector prediction (ATMVP), and merge mode with motion vector differences (MMVD).

Methods and apparatus of motion vector rounding, clipping and storage for

The present disclosure relates to a bit-width control method of bi-directional optical flow (BDOF) for coding a video signal. The method includes obtaining a first reference picture Iand a second reference picture Iassociated with a video block, obtaining first prediction samples I(i,j) of the video block from a reference block in the first reference picture I, obtaining second prediction samples I(i,j) of the video block from a reference block in the second reference picture I, controlling internal bit-widths of the BDOF by deriving internal bit-widths of intermediate parameters, obtaining motion refinements for samples in the video block based on the BDOF being applied to the video block based on the first prediction samples I(i,j) and the second prediction samples I(i,j), and obtaining bi-prediction samples of the video block based on the motion refinements.

Methods and devices for bit-width control for bi-directional optical flow

A method and a computing device are provided for video coding. The method may include deriving parameter &#x3b1; and parameter &#x3b2; for a CCLM mode by using a predetermined number of neighboring reconstructed luma samples and chroma samples in a CU; and generating a final chroma predictor for the chroma samples of the CU by using the parameter &#x3b1; and the parameter &#x3b2;.

Video coding using cross-component linear model

An electronic apparatus performs a method of decoding video data. The method comprises: receiving the video signal that includes a first component and a second component; receiving a plurality of offsets associated with the second component; utilizing a sample value of the first component to obtain a classifier associated with the second component; dividing a range of the sample value of the first component into several bands based on the classifier; selecting a band based on an intensity value of the sample value of the first component; selecting an offset from the plurality of offsets for the second component according to the selected band; and modifying the second component based on the selected offset.

Chroma coding enhancement in cross-component sample adaptive offset

A method for video coding is provided. The method may include: identifying motion vectors (MVs) and control point motion vectors (CPMVs) for spatial MV prediction and affine motion inheritance, respectively; converting the MVs and the CPMVs into a mantissa-exponent format; and storing mantissa-exponent representations of the MVs and the CPMVs in a memory.

Methods and apparatus of motion vector rounding, clipping and storage for inter prediction based on mantissa-exponent representations

A computing device performs a method of decoding video data by acquiring a video bitstream including data associated with multiple encoded pictures, each picture including multiple rows of coding tree units (CTUs) and each CTU including one or more coding units (CUs). A data buffer storing a plurality of history-based motion vector predictors is used for encoding the rows of CTUs and the decoding process resets the buffer before decoding a first CU of a current row of CTUs. For a current CU of the row of CTUs, a motion vector candidate list is constructed from exploiting spatial and temporal correlation of motion vectors of neighbouring code units as well as the history-based motion vector predictors in the buffer. Finally, one motion vector predictor is selected, from the motion vector candidate list, for decoding the current CU and the buffer is updated based on the selected one.

Methods and apparatus of video coding using history-based motion vector prediction

The present disclosure relates to a method for deriving constructed affine merge candidates. The method includes encoding, by an encoder, a regular merge flag for a coding unit (CU) that is coded as merge mode and merge related modes; in response to determining that the regular merge flag is encoded as one, indicating that a regular merge mode or merge mode with motion vector differences (MMVD) is used by the CU, constructing, by the encoder, a motion vector merge list for the CU and using regular merge index to indicate which candidate is used; and in response to determining that the regular merge flag is encoded as zero, indicating the regular merge mode is not used by the CU, and further encoding, by the encoder, mode flags to indicate associated merge related modes are used in response to determining that a mode flag's constraints are met.

System and method for signaling of motion merge modes in video coding

A method for controlling bit-width for bi-directional optical flow (BDOF) for video coding includes acquiring, for a current picture, a first reference picture and a second reference picture, the second reference picture being different than the first reference picture, where the first reference picture is displayed before the current picture and the second reference picture is displayed after the current picture. A motion refinement of a coding unit (CU) is calculated by minimizing a difference between a first prediction Land a second prediction L. First gradient values for the first prediction Land second gradient values for the second prediction Lare calculated. A final bi-prediction of the CU is calculated. Also disclosed are an associated apparatus and an associated non-transitory computer readable storage medium.

Bit-width control for bi-directional optical flow

An example device includes a memory to store the video data, and processing circuitry in communication with the memory. The processing circuitry is configured to compare a value of a dimension of a current block of the stored video data to a value of a corresponding dimension of a neighboring block of the current block to obtain a relative dimension value. The processing circuitry is further configured to determine, based on the relative dimension value, that the current block is to be partitioned according to a prediction tree (PT) portion of a multi-type tree-based partitioning scheme. The PT portion comprises partitioning according to one of a binary tree structure or a center-side triple tree structure. The processing circuitry is further configured to partition, based on the determination, the current block according to the PT portion, to form a plurality of sub-blocks.

Tree-type coding for video coding

A device for encoding video data includes a memory configured to store video data, and a video encoder implemented in circuitry and configured to encode a future picture of the video data having a first display order position, the future picture being included in an intra period (IP) of the video data, the IP comprising a plurality of groups of pictures (GOPs), and after encoding the future picture, encode a picture of an ordinal first GOP of the plurality of GOPs using the future picture as a reference picture, each picture of the ordinal first GOP having display order positions earlier than the first display order position. Encoding the future picture in this manner may result in encoding performance improvements with minimal increases in encoding and decoding complexity.

Adaptive GOP structure with future reference frame in random access configuration for video coding

The present disclosure relates to a method for deriving constructed affine merge candidates. The method includes acquiring one or more control point sets from a decoder. The decoder determines whether a reference index of each control point for the control point set index within the control point set associated with a reference index pointing into a reference picture in a first reference picture list is greater than or equal to zero and each is equal to each other. The decoder also determines whether a reference index of each control point for the control point set index within the control point set associated with a reference index pointing into a reference picture in a second reference picture list is greater than or equal to zero and each is equal to each other. The decoder determines that an affine motion model is available based on the determination result.

Method for deriving constructed affine merge candidates

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Taichung, Taiwan

Yi-Wen Chen