Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A back-propagation significance detection method based on depth map mining, comprising: for an input image Io, at a preprocessing phase, obtaining a depth image Id and an image Cb with four background corners removed of the image Io; at a first processing phase, carrying out positioning detection on a significant region of the image by means of the obtained image Cb with four background corners removed and the obtained depth image Id to obtain the preliminary detection result S1 of a significant object in the image; then carrying out depth mining on a plurality of processing phases of the depth image Id to 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.

Abstract: 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.

Abstract: 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.

Abstract: A battery is disclosed, including a battery cell and a protection circuit board. The battery cell includes a cell body; a first tab, and a second tab. The first tab electrically connects the cell body and the protection circuit board. The second tab electrically connects the cell body and the protection circuit board. A polarity of the second tab is opposite to that of the first tab. The third tab electrically connects the cell body and the protection circuit board. A polarity of the third tab is same as that of the first tab, thereby being conducive to reducing temperature rise of the battery cell and the protection circuit board in use. This application further provides an electronic device that uses the battery.

Abstract: A back-propagation significance detection method based on depth map mining, comprising: for an input image Io, at a preprocessing phase, obtaining a depth image Id and an image Cb with four background corners removed of the image Io; at a first processing phase, carrying out positioning detection on a significant region of the image by means of the obtained image Cb with four background corners removed and the obtained depth image Id to obtain the preliminary detection result S1 of a significant object in the image; then carrying out depth mining on a plurality of processing phases of the depth image Id to 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.

Abstract: Disclosed are a compression method and system for the frequent transmission of a deep neural network. The deep neural network compression is extended to the field of transmission, and the potential redundancy among deep neural network models is utilized for compressing, so that the overhead of the deep neural network under frequency transmission is reduced. The advantages of the present invention are that: in the present invention, the redundancy among multiple models of the deep neural network on the frequency transmission is combined, knowledge information among deep neural networks is utilized for compressing, and the size and the bandwidth of the required transmission are reduced. The deep neural network can be better transmitted under the same bandwidth limitation; meanwhile, the deep neural network is allowed to be performed targeted compression at a front end, rather than being restored partially after being performed targeted compression.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.