公开(公告)号：US08306124B2

公开(公告)日：2012-11-06

申请号：US10584844

申请日：2004-07-08

Applicant: Wen Gao ,  Junhao Zheng ,  Siwei Ma ,  Xiangyang Ji ,  Peng Zhang ,  Yan Lu

Inventor： Wen Gao ,  Junhao Zheng ,  Siwei Ma ,  Xiangyang Ji ,  Peng Zhang ,  Yan Lu

IPC: H04N7/12

CPC classification number: H04N19/132 ,  H04N19/176 ,  H04N19/51 ,  H04N19/61 ,  H04N19/70

Abstract: An encoding method for skipped macroblocks in a video image includes the steps of: adding one indication bit into a picture header for indicating a coding mode for skipped macroblocks in a current image; selecting the coding mode for a macroblock type in the current image according to the number of skipped macroblocks, if it is a run_length coding, then setting the indication bit of the picture header as a status indicating a run_length coding, and encoding the macroblock type in the image by the run_length coding mode; if it is a joint coding, then setting the indication bit of the picture header as status indicating a joint coding and encoding the macroblock type in the image by the joint coding mode of the number of skipped macroblocks and the macroblock type; finally, encoding other data in the current macroblock and writing data into a code stream.

Abstract translation: 视频图像中的跳过宏块的编码方法包括以下步骤：将一个指示位添加到用于指示当前图像中的跳过宏块的编码模式的图像头中; 根据跳过的宏块的数量，选择当前图像中的宏块类型的编码模式，如果是长度编码，则将图像头的指示位设置为指示运行长度编码的状态，并将宏块类型编码 图像由run_length编码模式; 如果是联合编码，则通过跳过的宏块的数量和宏块类型的联合编码模式将图像头的指示位设置为指示图像中的宏块类型的联合编码和编码的状态; 最后，编码当前宏块中的其他数据并将数据写入代码流。

公开(公告)号：US20090304083A1

公开(公告)日：2009-12-10

申请号：US10584777

申请日：2004-07-08

Applicant: Wen Gao ,  Xiangyang Ji ,  Siwei Ma ,  Debin Zhao ,  Yan Lu

Inventor： Wen Gao ,  Xiangyang Ji ,  Siwei Ma ,  Debin Zhao ,  Yan Lu

IPC: H04N7/26

CPC classification number: H04N19/577

Abstract: The present invention discloses a “rounding to zero” method which can maintain the exact motion vector and can also be achieved by the method without division so as to improve the precision of calculating the motion vector, embody the motion of the object in video more factually, and obtain the more accurate motion vector prediction. Combining with the forward prediction coding and the backward prediction coding, the present invention realizes a new prediction coding mode, which can guarantee the high efficiency of coding in direct mode as well as is convenient for hardware realization, and gains the same effect as the conventional B frame coding.

Abstract translation: 本发明公开了一种“舍入到零”方法，其可以保持精确的运动矢量，并且还可以通过不分割的方法来实现，以便提高计算运动矢量的精度，更实际地体现视频中的对象的运动 ，并获得更准确的运动矢量预测。 结合前向预测编码和后向预测编码，本发明实现了一种新的预测编码模式，可以保证直接模式下的编码效率高，便于硬件实现，并获得与常规编码相同的效果 B帧编码。

公开(公告)号：US20230128059A1

公开(公告)日：2023-04-27

申请号：US17908495

申请日：2020-07-06

Applicant: Institute of Computing Technology, Chinese Academy of Sciences

Inventor： Liuying MA ,  Zhenqing LIU ,  Jin XIONG ,  Dejun JIANG

IPC: G06F3/06

Abstract: The present invention proposes a dynamic resources allocation method and system for guaranteeing tail latency SLO of latency-sensitive applications. A plurality of request queues is created in a storage server node of a distributed storage system with different types of requests located in different queues, and thread groups are allocated to the request queues according to logical thread resources of the service node and target tail latency requirements, and thread resources are dynamically allocated in real time, and the thread group of each request queue is bound to physical CPU resources of the storage server node. The client sends an application's requests to the storage server node; the storage server node stores the request in a request queue corresponding to its type, uses the thread group allocated for the current queue to process the application's requests, and sends responses to the client.

公开(公告)号：US11468565B2

公开(公告)日：2022-10-11

申请号：US17596127

申请日：2019-10-28

Applicant: Institute of Computing Technology, Chinese Academy of Sciences

Inventor： Fei Ren ,  Zhiyong Liu ,  Yudong Liu

IPC: G06K9/00 ,  G06T7/00 ,  G06V10/82 ,  G06V10/26 ,  G06V10/774 ,  G06V10/764 ,  A61B5/00

Abstract: The invention relates to a TMB classification method and system and a TMB analysis device based on a pathological image, comprising: performing TMB classification and marking and pre-processing on a known pathological image to construct a training set; training a convolutional neural network by means of the training set to construct a classification model; pre-processing a target pathological image of a target case to obtain a plurality of target image blocks; classifying the target image blocks by means of the classification model to acquire an image block TMB classification result of the target case; and acquiring an image TMB classification result of the target case by means of classification voting using all the image block TMB classification results. The invention further relates to a TMB analysis device based on a pathological image. The TMB classification method of the invention has advantages of accuracy, a low cost and fast rapid.

公开(公告)号：US20220207726A1

公开(公告)日：2022-06-30

申请号：US17596127

申请日：2019-10-28

Applicant: Institute of Computing Technology, Chinese Academy of Sciences

Inventor： Fei REN ,  Zhiyong LIU ,  Yudong LIU

IPC: G06T7/00 ,  G06V10/764 ,  G06V10/26 ,  G06V10/774 ,  G06V10/82 ,  A61B5/00

Abstract: The invention relates to a TMB classification method and system and a TMB analysis device based on a pathological image, comprising: performing TMB classification and marking and pre-processing on a known pathological image to construct a training set; training a convolutional neural network by means of the training set to construct a classification model; pre-processing a target pathological image of a target case to obtain a plurality of target image blocks; classifying the target image blocks by means of the classification model to acquire an image block TMB classification result of the target case; and acquiring an image TMB classification result of the target case by means of classification voting using all the image block TMB classification results. The invention further relates to a TMB analysis device based on a pathological image. The TMB classification method of the invention has advantages of accuracy, a low cost and fast rapid.

公开(公告)号：US20210182666A1

公开(公告)日：2021-06-17

申请号：US16762810

申请日：2018-02-28

Applicant: INSTITUTE OF COMPUTING TECHNOLOGY, CHINESE ACADEMY OF SCIENCES

Inventor： Yinhe HAN ,  Feng MIN ,  Haobo XU ,  Ying WANG

IPC: G06N3/08 ,  G06K9/62 ,  G06F17/16

Abstract: Disclosed are a weight data storage method and a convolution computation method that may be implemented in a neural network. The weight data storage method comprises searching for effective weights in a weight convolution kernel matrix and acquiring an index of effective weights. The effective weights are non-zero weights, and the index of effective weights is used to mark the position of the effective weights in the weight convolution kernel matrix. The weight data storage method further comprises storing the effective weights and the index of effective weights. According to the weight data storage method and the convolution computation method of the present disclosure, storage space can be saved, and computation efficiency can be improved.

公开(公告)号：US10379816B2

公开(公告)日：2019-08-13

申请号：US15773973

申请日：2016-06-17

Applicant: Institute of Computing Technology, Chinese Academy of Sciences

Inventor： Zhen Li ,  Shaoli Liu ,  Shijin Zhang ,  Tao Luo ,  Cheng Qian ,  Yunji Chen ,  Tianshi Chen

IPC: G06F7/509 ,  G06F16/22 ,  G06F7/50

Abstract: The present disclosure provides a data accumulation device and method, and a digital signal processing device. The device comprises: an accumulation tree module for accumulating input data in the form of a binary tree structure and outputting accumulated result data; a register module including a plurality of groups of registers and used for registering intermediate data generated by the accumulation tree module during an accumulation process and the accumulated result data; and a control circuit for generating a data gating signal to control the accumulation tree module to filter the input data not required to be accumulated, and generating a flag signal to perform the following control: selecting a result obtained after adding one or more of intermediate data stored in the register to the accumulated result as output data, or directly selecting the accumulated result as output data. Thus, a plurality of groups of input data can be rapidly accumulated to a group of sums in a clock cycle. At the same time, the accumulation device can flexibly select to simultaneously accumulate some data of the plurality of input data by means of a control signal.

公开(公告)号：US08116375B2

公开(公告)日：2012-02-14

申请号：US10584762

申请日：2004-07-19

Applicant: Wen Gao ,  Xiangyang Ji ,  Siwei Ma ,  Debin Zhao ,  Yan Lu

Inventor： Wen Gao ,  Xiangyang Ji ,  Siwei Ma ,  Debin Zhao ,  Yan Lu

IPC: H04N7/12

CPC classification number: H04N19/577 ,  H04N19/51 ,  H04N19/513 ,  H04N19/61

Abstract: A method for obtaining an image reference block in a code mode of fixed reference frame number includes the steps of: performing motion estimation for each block of a current B frame and obtaining a motion vector MV of a corresponding block of a backward reference frame; discriminating whether the motion vector is beyond a maximum forward reference frame which is possibly pointed by the B frame, if not, then calculating the forward and backward motion vectors in a normal way; if yes, then using the motion vector of the forward reference frame that the B frame can obtain in the same direction to replace the motion vector of the corresponding block in the backward reference, and calculating the forward and the backward motion vectors of the B frame; finally, two image blocks pointed by the final obtained forward and backward motion vectors as the image reference blocks corresponding to the macro block. The present invention solves the possibly appeared problem of un-matching motion vectors, and can guarantee the coding efficiency to the largest extent.

Abstract translation: 用于以固定参考帧号码的码模式获得图像参考块的方法包括以下步骤：对当前B帧的每个块执行运动估计，并获得后向参考帧的对应块的运动矢量MV; 鉴别运动矢量是否超出可能由B帧指向的最大前向参考帧，如果不是，则以正常方式计算前向和后向运动矢量; 如果是，则使用B帧可以在相同方向上获得的前向参考帧的运动矢量来替换后向参考中的相应块的运动矢量，并且计算B帧的前向和后向运动矢量 ; 最后，由最终获得的前向和后向运动矢量指向的两个图像块作为与宏块对应的图像参考块。 本发明解决了可能出现的不匹配运动矢量的问题，可以最大限度地保证编码效率。

公开(公告)号：US08005144B2

公开(公告)日：2011-08-23

申请号：US10571659

申请日：2004-07-02

Applicant: Xiangyang Ji ,  Wen Gao ,  Debin Zhao ,  Yan Lu ,  Siwei Ma ,  Honggang Qi

Inventor： Xiangyang Ji ,  Wen Gao ,  Debin Zhao ,  Yan Lu ,  Siwei Ma ,  Honggang Qi

IPC: H04N7/12 ,  H04N11/02 ,  H04N11/04

CPC classification number: H04N19/577 ,  H04N19/513 ,  H04N19/58 ,  H04N19/61

Abstract: The invention discloses a bi-directional prediction method for video coding/decoding. When bi-directional prediction coding at the coding end, firstly the given forward candidate motion vector of the current image block is obtained for every image block of the current B-frame; the backward candidate motion vector is obtained through calculation, and the candidate bi-directional prediction reference block is obtained through bi-directional prediction method; the match is computed within the given searching scope and/or the given matching threshold; finally the optimal matching block is selected to determine the final forward motion vector, and the backward motion vector and the block residual. The present invention achieves the object of bi-directional prediction by coding a single motion vector, furthermore, it will not enhance the complexity of searching for a matching block at the coding end, and may save amount of coding the motion vector and represent the motion of the objects in video more actually. The present invention realizes a new prediction coding type by combining the forward prediction coding with the backward.

Abstract translation: 本发明公开了一种用于视频编码/解码的双向预测方法。 在编码结束的双向预测编码时，首先为当前B帧的每个图像块获得当前图像块的给定正向候选运动矢量; 通过计算获得后向候选运动矢量，通过双向预测方法获得候选双向预测参考块; 在给定的搜索范围和/或给定的匹配阈值内计算匹配; 最后选择最优匹配块来确定最终的前向运动矢量，反向运动矢量和块残差。 本发明通过对单个运动矢量进行编码来实现双向预测的目的，此外，它不会增强在编码端搜索匹配块的复杂度，并且可以节省编码运动矢量的量并表示运动 视频中的对象更实际。 本发明通过将前向预测编码与后向组合来实现新的预测编码类型。

公开(公告)号：US07916783B2

公开(公告)日：2011-03-29

申请号：US10521877

申请日：2002-09-23

Applicant: Wen Gao ,  Siwei Ma ,  Yan Lu

Inventor： Wen Gao ,  Siwei Ma ,  Yan Lu

IPC: H04N11/02

CPC classification number: H04N19/567 ,  H04N19/107 ,  H04N19/124 ,  H04N19/14 ,  H04N19/147 ,  H04N19/15 ,  H04N19/152 ,  H04N19/172 ,  H04N19/176 ,  H04N19/19 ,  H04N19/194 ,  H04N19/61

Abstract: In the invention, a rate distortion optimization (RDO) based rate control scheme is comprised of following two steps: first, does bit allocation for every frame in a GOP, and based on the allocated bits, a predicted quantization parameter is used to do the first rate distortion optimization mode selection for every macroblock in the current frame; second, the information of the current macroblock collected from the first rate distortion mode selection is used to calculate a final quantization parameter for rate control, and if the final quantization parameter is different from the predicted one, a second rate distortion mode selection will be executed again. A rate distortion optimization based rate control implementation includes following modules: a video coding encoder module (for example, H.264/JVT processing module), rate distortion optimization based macroblock mode selection and adaptive quantization module, virtual buffer, and global complexity estimation module. As RDO and rate control are considered together in the invention, the RDO based rate control scheme can achieve better coding performance while with accurate target bitrate control.

Abstract translation: 在本发明中，基于速率失真优化（RDO）的速率控制方案包括以下两个步骤：首先，对GOP中的每一帧进行比特分配，并且基于所分配的比特，使用预测的量化参数来执行 对当前帧中的每个宏块进行一次失真优化模式选择; 第二，使用从第一速率失真模式选择收集的当前宏块的信息来计算用于速率控制的最终量化参数，并且如果最终量化参数与预测的量化参数不同，则将执行第二速率失真模式选择 再次。 基于速率失真优化的速率控制实现包括以下模块：视频编码编码器模块（例如，H.264 / JVT处理模块），基于速率失真优化的宏块模式选择和自适应量化模块，虚拟缓冲器和全局复杂度估计模块 。 由于在本发明中一起考虑了RDO和速率控制，所以基于RDO的速率控制方案可以在精确的目标比特率控制的情况下实现更好的编码性能。