Peking University

Spike Vision (beijing) Technology Co., Ltd.

Future Wei Technologies, Inc.

Northwestern University

Huawei Technologies Co., Limited

Tiejun Huang

Wen Gao

Ronggang Wang

Wenmin Wang

Zhenyu Wang

Siwei Ma

Shengfu Dong

Yonghong Tian

Lingyu Duan

Xin Ru Wang

Lei Chen

Jie Chen

Ge Li

Yang Zhao

Lei Ma

Lin Zhu

Yongliang Liu

Aggelos K Katsaggelos

Oliver Strider Cossairt

Boxin Shi

Yan Bai

Yaowei Wang

Zihao Wang

Xin Wang

Yihua Fu

Jianing Li

Siwei Dong

Lin Ding

Luntian Mou

Peiqi Duan

Fangkun Wang

Yihang Lou

Ziqian Chen

Chunbiao Zhu

Yicheng Huang

A method includes: obtaining, from encoded information, a pulse sequence for each pixel in a plurality of pixels in a unit time period before a specified time, where the encoded information is obtained by encoding respective pulse sequences for the plurality of pixels, wherein the pulse sequence for a given pixel of the plurality of pixels represents a space-time signal change at the given pixel; calculating, for each pixel of the plurality of pixels, a pixel value of the pixel according to the pulse sequence for the pixel; and obtaining an image at the specified time according to a space arrangement of the pixels of the plurality of pixels, in accordance with the pixel values of the plurality of pixels at the specified time.

Generating image based on pulse sequences obtained from encoded information

A display method is provided. The display method includes: obtaining information of a target display array on a display device, the target display array including a first number of display units arranged; obtaining target pulse sequences that characterize dynamic spatiotemporal information; determining display state information of each display unit in the first number of display units from a spatiotemporal relationship between the target pulse sequences and the target display array; and causing visualization of pulse signals in the target pulse sequences on the display device based on the display state information of each display unit in the first number of display units.

Display method based on pulse signals, apparatus, electronic device and medium

Disclosed are an imaging method and device. The method includes: acquiring, at a specified imaging time, a pulse sequence in a time period before the specified imaging time, with regard to each pixel of a plurality of pixels; calculating a pixel value of the pixel according to the pulse sequence; and obtaining an image at the specified imaging time according to a space arrangement of the pixels, in accordance with pixel values of the plurality of pixels at the specified imaging time.

Imaging method and device

A method and system for codec of visual feature data is provided. First protocol format visual feature data generated by an intelligent front end and a certificate identity used to uniquely identify a corresponding first protocol format are received. The first protocol format visual feature data is converted to a same type of second protocol format visual feature data according to the certificate identity. The second protocol format visual feature data is received and parsed according to the second protocol format to obtain original visual feature data that are generated by the intelligent front end and contained in the first protocol format visual feature data.

Method and system for codec of visual feature data

An imaging system includes an event camera configured to capture a first image of a scene. The system also includes a shutter camera collocated with the event camera, where the shutter camera is configured to capture a second image of the scene. The system also includes a processor operatively coupled to the event camera and the shutter camera. The processor is configured to apply guided event filtering (GEF) on the first image and the second image. The processor is also configured to generate a third image based on filtering of the first image and the second image.

System and method for high-resolution, high-speed, and noise-robust imaging

A back-propagation significance detection method based on depth map mining, comprising: for an input image I, at a preprocessing phase, obtaining a depth image Iand an image Cwith four background corners removed of the image I; at a first processing phase, carrying out positioning detection on a significant region of the image by means of the obtained image Cwith four background corners removed and the obtained depth image Ito obtain the preliminary detection result Sof a significant object in the image; then carrying out depth mining on a plurality of processing phases of the depth image Ito obtain corresponding significance detection results; and then optimizing the significance detection result mined in each processing phase by means of a back-propagation mechanism to obtain a final significance detection result map. The method can improve the detection accuracy of the significance object.

Back-propagation image visual saliency detection method based on depth image mining

An imaging method and device, the method comprising: acquiring, at a specified imaging time, a pulse sequence in a time period before the specified imaging time, with regard to each pixel of a plurality of pixels; calculating a pixel value of the pixel according to the pulse sequence; obtaining a display image at the specified imaging time according to a space arrangement of the pixels, in accordance with pixel values of the plurality of pixels at the specified imaging time.

A spike signal-based display method and a spike signal-based display system are disclosed by the present application. The method includes: analyzing a spike sequence corresponding to a single pixel position to obtain spike-firing information; acquiring respective pixel values corresponding to multiple spike-firing times before a single spike-firing time, and accumulating the pixel values as a first accumulated pixel value; setting a first specific amount corresponding to the single spike-firing time of the pixel position, and summing the first specific amount and the first accumulated pixel value to obtain a first pixel value of the pixel position; comparing the first pixel value with a pixel threshold range, and obtaining a second specific amount based on the first specific amount; and obtaining a second pixel value of the pixel position by summing the first accumulated pixel value and the second specific amount, and generating an image by using the second pixel values. Since the pixel values are calculated using the time domain characteristic of the spike signal, an image with high quality is formed and an image at any continuous time instant is output. The quality of the generated image is improved by adjusting the pixel values based on the pixel threshold range.

Spike signal-based display method and system

A method for encoding space-time signals comprises: collecting space-time signals of various local spatial positions in a monitoring area, and accumulating the space-time signals according to time, so as to obtain cumulative signal intensity values; transforming the cumulative signal intensity values by means of a filter, and outputting a pulse signal when a transformation result exceeds a specific threshold; arranging pulse signals corresponding to a local spatial position into a sequence according to the time, so as to obtain a pulse sequence expressing the local spatial position signals and a change process thereof; and arranging the pulse sequences of all local spatial positions into a pulse sequence array according to interrelation among the spatial positions to serve as an encoding for dynamic space-time signals of the monitoring area.

Method and device for encoding space-time signals

Embodiments of the present disclosure provide a method, an apparatus, and a system for deep feature coding and decoding. The method comprises: extracting features of respective video frames; determining types of the features, the types reflecting time-domain correlation degrees between the features and a reference feature; encoding the features using predetermined coding patterns matching the types to obtain coded features; and transmitting the coded features to the server such that the server decodes the coded features for a vision analysis task. By using the embodiments of the present disclosure, videos per se may not be transmitted to the cloud server; instead, the features of the video, after being encoded, are transmitted to the cloud server for a vision analysis task; compared with the prior art, data transmission pressure may be lowered, and the storage pressure at the cloud server may also be lowered.

Method, apparatus, and system for deep feature coding and decoding

A P frame-based multi-hypothesis motion compensation method includes: taking an encoded image block adjacent to a current image block as a reference image block and obtaining a first motion vector of the current image block by using a motion vector of the reference image block, the first motion vector pointing to a first prediction block; taking the first motion vector as a reference value and performing joint motion estimation on the current image block to obtain a second motion vector of the current image block, the second motion vector pointing to a second prediction block; and performing weighted averaging on the first prediction block and the second prediction block to obtain a final prediction block of the current image block. The method increases the accuracy of the obtained prediction block of the current image block without increasing the code rate.

P frame-based multi-hypothesis motion compensation method

An arithmetic encoding-decoding method for compression of a video image block. The method includes an encoding process and a decoding process. The encoding process includes: 1) acquiring an information of an image block to be encoded; 2) extracting an encoding command of a weighted skip model; 3) acquiring an index of a reference frame according to the information of the image block to be encoded and the command of the weighted skip model, in which the reference frame includes a prediction block for reconstructing the image block to be encoded; 4) acquiring a context-based adaptive probability model for encoding; and 5) performing arithmetic encoding of the index of the reference frame and writing arithmetic codes into an arithmetically encoded bitstream according to the context-based adaptive probability model for encoding.

Arithmetic encoding-decoding method and codec for compression of video image block

A method for video encoding based on an image super-resolution, the method including: 1) performing super-resolution interpolation on a video image to be encoded using a pre-trained texture dictionary database to yield a reference image; in which the texture dictionary database includes: one or multiple dictionary bases, and each dictionary basis includes a mapping group formed by a relatively high resolution image block of a training image and a relatively low resolution image block corresponding to the relatively high resolution image block; 2) performing motion estimation and motion compensation of image blocks of the video image on the reference image to acquire prediction blocks corresponding to the image blocks of the video image; 3) performing subtraction between the image blocks of the video image and the corresponding prediction blocks to yield prediction residual blocks, respectively; and 4) encoding the prediction residual blocks.

Method and device for video encoding or decoding based on image super-resolution

A content server comprising a processor coupled to the receiver configured to obtain a media content component, identify an ownership of the media content component, and generate a Dynamic Adaptive Streaming over Hypertext Transfer Protocol (HTTP) (DASH) Media Presentation Description (MPD) indicating storage locations of segments of the media content component, indicating instructions for displaying the segments of the media content component, and indicating ownership of the media content component, a receiver coupled to the processor and configured to receive a request from a client for the media content component, and a transmitter coupled to the processor and configured to transmit the DASH MPD indicating the ownership of the media content component to the client in response to receiving the request.

Ownership identification, signaling, and handling of content components in streaming media

The present invention provides a method and a device for detecting interest points in an image. The method includes: acquiring an original input image; performing down-sampling processing on the original input image, so as to obtain a plurality of sampling images with different resolutions; dividing each sampling image into a plurality of small image blocks; performing filtering processing on the plurality of small image blocks in each sampling image in sequence by using Laplacian-of-Gaussian filters, so as to obtain filtered images of the plurality of small image blocks in each sampling image; and acquiring interest points in an image in filtered images of the plurality of small image blocks in each sampling image. The present invention is used for solving the problems of more memory consumption and a low detection speed in the prior art.

Growing community of inventors

Beijing, China

Tiejun Huang