Abstract: Two-dimensional face presentation attacks are one of most notorious and pervasive face spoofing types, causing security issues to facial authentication systems. To tackle these issues, a cost-effective face anti-spoofing (FAS) system based on acoustic modality, named as Echo-FAS, is devised, which employs a crafted acoustic signal to probe the presented face. First, a large-scale, high-diversity, acoustic-based FAS database, named as Echo-Spoof, is built. Based upon Echo-Spoof, we design a two-branch framework combining global and local frequency features of the presented face to distinguish live vs. spoofing faces. Echo-FAS has the following merits: (1) it only needs one speaker and one microphone; (2) it can capture three-dimensional geometrical information of the presented face and achieve a remarkable FAS performance; and (3) it can be handily allied with RGB-based FAS models to mitigate the overfitting problem in the RGB modality and make the FAS model more accurate and robust.

Abstract: Methods and apparatuses are provided for processing video data. An exemplary method includes: decompressing a compressed frame to generate a key frame representing a face; generating, for the key frame, a first set of parameters associated with a 3-dimensional (3D) face representation of the face; reconstructing, for each of one or more inter frames, a second set of parameters associated with a 3D face representation of the face according to compressed inter-predicted residuals of the second set of parameters; and generating a video comprising the face based on the key frame, the first set of parameters, and the second set of parameters.

Abstract: A computer-implemented method for facilitating machine-learning based media (e.g., video) compression. The method includes receiving a motion data set associated with motion-related difference between a first image and a second image, and processing the motion data set using a neural network to determine a plurality of motion data subsets. The method also includes processing the plurality of motion data subsets using one or more features associated with the first image to obtain a plurality of motion-warped feature data sets each associated with a respective motion data subset; and processing the plurality of motion-warped feature data sets to facilitate generation of context data for facilitating conditional coding based compression of the second image.

Abstract: A method for processing a screen content video. The screen content video includes a plurality of frames each including a plurality of coding tree units and a plurality of coding units in each of the coding tree units. The method includes performing a coding-tree-unit-based analysis operation on the screen content video to determine content information associated with the screen content video, and performing a rate control operation on the screen content video based on the determined content information to encoding of the screen content video. The content information includes content complexity information associated with the screen content video and temporal importance information associated with the screen content video.

Abstract: Methods and apparatuses are provided for compressing video data based on keypoint features. An exemplary video compression method includes: receiving a video sequence; encoding one or more pictures of the video sequence; and generating a bitstream; wherein the encoding includes: representing a first picture by a first set of keypoints and a second set of keypoints, the second set comprising less keypoints than the first set; and compressing the video sequence based on the first set and second set of keypoints.

Abstract: Embodiments of the disclosure disclose a method, apparatus and electronic device for data processing. The method includes: obtaining a first data table and a second data table; and determining an associated field in the first data table, and establishing a bidirectional association relationship between the first data table and the second data table through the associated field, wherein a target permission for using the first data table is set for a target user in the establishment of the bidirectional association relationship, the target user being a user associated with the second data table.

Abstract: The present disclosure provides pre-analysis based methods for adaptively compressing image data consumed by machine vision tasks. An exemplary method includes: receiving a video sequence; encoding one or more input pictures associated with the video sequence; and generating a bitstream, wherein the encoding includes: performing instance segmentation of an input picture, to generate one or more segment masks; combining the one or more segment masks to generate a merged mask; extracting, from the input picture, a region comprising the merged mask; and compressing image data representing the extracted region.

Abstract: An image data encoding method is provided. The image data encoding method includes receiving an input image and a quantization parameter (QP); performing pre-analysis of the input image based on the QP to obtain input image data for machine version; determining at least one of a temporal redundancy or a spatial redundancy of the input image data; determining, based on the at least one of temporal redundancy or spatial redundancy, whether to perform at least one of temporal down-sampling or spatial down-sampling; performing down-sampling of the input image data according to the determination, wherein the down-sampling includes at least one of temporal down-sampling or spatial down-sampling; and encoding the down-sampled image data based on the QP.

Abstract: The present disclosure provides methods and apparatuses for performing image synthesis. An exemplary image synthesis method includes: acquiring a first image and a second image an image quality of the first image being higher than an image quality of the second image; obtaining a compressed image by compressing the first image; and synthesizing at least a part of the compressed image with at least a part of the second image.

Abstract: A method implemented by a video coding apparatus includes applying a neural network (NN) filter to an unfiltered sample of a video unit to generate a filtered sample. The NN filter is applied based on a syntax element of the video unit. The method also includes converting between a video media file and a bitstream based on the filtered sample that was generated.

Abstract: A tunnel operation robot includes a robot body, a walking module, a fixed wing module and a plurality of rotatable wing modules. Both sides of the robot body are provided with cantilever parts, which are collinearly arranged. The walking module is arranged on the robot body. The fixed wing module includes a fixed fan, is fixedly arranged on the robot body, and is configured to provide a pressure for the walking module to be attached to and pressed against the tunnel wall surface. The plurality of rotatable wing modules are respectively arranged on the cantilever parts on both sides of the robot body, and include a rotatable rotating fan and a wind direction adjustment driver. Each rotating fan has a rotation axis parallel to the cantilever parts and an air outlet direction perpendicular to the cantilever parts, and the wind direction adjustment driver is connected to the rotating fan.

Abstract: Data integrity checks for reducing communication latency is described. A transmitting endpoint transmits data to a receiving endpoint by generating an integrity tag for a first subset of data blocks and a second integrity tag for a second subset of data blocks. In implementations, the first and second integrity tags overlap at least one data block and are offset based on computational complexities of generating the integrity tags. A receiving endpoint generates comparison tags for each of the integrity tags and uses the comparison tags to validate an authenticity of received data. In response to validating the first and second integrity tags, data blocks covered by both the first and second integrity tags are released for use. Additional integrity tags are generated and validated for subsequent subsets of data blocks during data communication, thus reducing latency by offsetting times at which comparison tags are generated and validated.

Abstract: A semiconductor device, a memory system, and a fabricating method are provided. The semiconductor device comprises a memory structure bonded with a circuit structure. The memory structure comprises: first transistors each comprising a semiconductor body extending in a vertical direction, a semiconductor layer on a lateral side of the first transistors, a first isolation structure extending through the semiconductor layer and laterally encircling a first portion of the semiconductor layer, a first contact structure extending through the first portion of the semiconductor layer, and a first contact pad above the first portion of the semiconductor layer and connected with the first contact structure. A lateral dimension of the first contact pad is less than a lateral dimension of the first portion of the semiconductor layer. The circuit structure comprises a second transistor, and the first contact pad is electrically connected to the second transistor by the first contact structure.

Abstract: A computer-implemented method for scalable compression of a digital image. The method contains the steps of extracting from the image semantic information at a semantic layer, extracting from the image structure information at a structure layer, extracting from the image signal information at a signal layer; and compressing each one of the semantic information, the structure information, and the signal information into a bitstream. A novel scalable cross-modality image compression is therefore provided where a wide spectrum of novel functionalities have been enabled, making the codec versatile for applications ranging from semantic understanding to signal-level reconstruction.

Abstract: The present disclosure relates to an afterburner structure with fuel injection nozzles. In the condition of a stable inlet flow, the present disclosure forms a sweeping oscillating jet with a certain frequency at the outlet under an alternate feedback action of a feedback channel and the fluid's Coanda effect, so that the spatial uniformity of the fuel injection is improved; Therefore, without increasing the structural complexity of current afterburner of the turbo-engine and the combustion chamber of the subsonic combustion ramjet, the atomization performance and the uniformity of the oil-gas mixture in the afterburner/combustion chamber of the ramjet can be greatly improved, the combustion efficiency and combustion instability of the engine can be improved and meanwhile the length of the afterburner and the combustion chamber of the subsonic combustion ramjet is shortened.

Abstract: A video processing method includes performing a conversion between a video comprising multiple video units and a coded representation of the video in which the multiple video units are processed in an order, where, when a video unit of the multiple video units is processed in the conversion, one or more frequence tables and/or one or more sorted intra prediction mode (IPM) tables are reset or initialized, where the one or more frequence tables include information about frequence of one or more intra prediction modes used for processing previous video units in the multiple video units, where the previous video units precede in time the video unit, where the frequence indicates an occurrence of the one or more intra prediction modes used for the conversion, and where the one or more sorted IPM tables indicate the one or more intra prediction modes used in the processing.

Abstract: A method implemented by a video coding apparatus. The method includes applying a first filter to an unfiltered sample of a video unit to generate a filtered sample. The first filter is a neural network (NN) filter based on a non-deep learning-based filter (NDLF) being disabled, and the first filter is the NDLF based on the NN filter being disabled. The method also includes performing a conversion between a video media file and a bitstream based on the filtered sample that was generated.

Abstract: A method for temporal resampling for multi-task machine vision is provided. The method includes receiving a bitstream of a video sequence after temporal resampling; and constructing a target frame from the bitstream using a frame construction model.

Abstract: A computer-implemented method for training spatial resampling modules includes: down-sampling, by a down-sampling module, an input image data to generate a down-sampled image data; up-sampling, by an up-sampling module, the down-sampled image data to generate a first up-sampled image data; analyzing, by a plurality of analysis models corresponding to a plurality of tasks, the first up-sampled image data; and training the down-sampling module based on a loss function associated with the plurality of analysis models according to the input image data and the first up-sampled image data.

Abstract: The present disclosure provides an afterburner structure with fuel injection nozzles. In the condition of a stable inlet flow, the present disclosure forms a sweeping oscillating jet with a certain frequency at the outlet under an alternate feedback action of a feedback channel and the fluid's Coanda effect, so that the spatial uniformity of the fuel injection is improved; Therefore, without increasing the structural complexity of current afterburner of the turbo-engine and the combustion chamber of the subsonic combustion ramjet, the atomization performance and the uniformity of the oil-gas mixture in the afterburner/combustion chamber of the ramjet can be greatly improved, the combustion efficiency and combustion instability of the engine can be improved and meanwhile the length of the afterburner and the combustion chamber of the subsonic combustion ramjet is shortened.