Abstract: Classifying video for encoding optimization may include computing a content complexity score of a video, the content complexity score indicating a measure of how detailed the video is in terms of spatial and temporal information, categorizing the video into one of a plurality of buckets according to the content complexity score, each bucket representing a category of video content having a different range of content complexity scores and being associated with a ladder specific to the range, and encoding the video according to the ladder of the one of the plurality of buckets into which the video is categorized.

Abstract: The present application discloses a battery, and a related device, preparation apparatus thereof. The battery includes a battery cell, the battery cell including a pressure relief mechanism and at least two walls, the at least two walls including a first wall and a second wall that intersect with each other, the pressure relief mechanism being disposed at the first wall and being configured to, when an internal pressure or temperature of the battery cell reaches a threshold, be actuated to release the internal pressure; a thermal management component attached to the first wall and being configured to accommodate a fluid to cool the battery cell; and a support component attached to the second wall, and configured to support the battery cell; wherein the thermal management component is configured such that when the pressure relief mechanism is actuated, emissions discharged from the battery cell pass through the thermal management component.

Abstract: Classifying video for encoding optimization may include computing a content complexity score of a video, the content complexity score indicating a measure of how detailed the video is in terms of spatial and temporal information, categorizing the video into one of a plurality of buckets according to the content complexity score, each bucket representing a category of video content having a different range of content complexity scores and being associated with a ladder specific to the range, and encoding the video according to the ladder of the one of the plurality of buckets into which the video is categorized.

Abstract: A method and apparatus for intrusion detection includes generating graph data from a sequence of messages in a communication network. The graph data denotes a node for each message identifier in the sequence of messages and an edge for each pair of consecutive message identifiers. Pair counts are generated for edges in the graph data as a number of times the associated pair of consecutive message identifiers occurs in the sequence. Input feature vectors are generated for nodes in the graph data. The vectors include data content of messages associated with the node and a pair count for each edge connected to the node. The input feature vectors are processed through a first graph neural network, based on the graph data, and then through one or more layers of a classifier to classify the sequence of messages as containing an anomaly or not.

Abstract: The present invention provides a ceramic wafer with a surface shape and a manufacturing method thereof. The ceramic wafer has an upper surface and a lower surface, and at least one of the upper surface and the lower surface has an irregular surface shape. The total thickness variation (TTV) value between the two surfaces ranges from 0.1 to 100 ?m. The ceramic wafer with the surface shape of the present invention, by controlling the total thickness variation of the wafer, not only helps the coating, but also improves the flow of the fluid, and can improve the bonding force of the coating and reduce the surface defects in the subsequent process.

Abstract: Macroblocking artifacts are assessed in an encoded video. Edges are detected and edge strengths are computed at macroblock boundaries in each decoded frame of the video. The detected edges are paired at horizontal or vertical sides of each macroblock to identify macroblock edge pairs. A macroblocking level of the frame is identified according to the macroblock edge pairs. For instance, for each of the macroblock edge pairs, the edges of the pair are identified as being macroblocking edges if edge strengths of both sides of the pair exceed a significance threshold, and the macroblocking level of the frame is determined by aggregating the macroblocking edges in the frame.

Abstract: A composite substrate and a manufacturing method thereof are provided. By disposing a plurality of interlayers between a carrier plate and a substrate, a strong bonding force between the layers can be ensured, and the difference between the coefficients of thermal expansion of the layers is allowed to be adjusted to prevent such drawbacks as the substrate being likely to break.

Abstract: Frames of a video stream collected at first and second points along a video delivery chain are buffered into first and second buffers, respectively, the second point being downstream the video delivery chain from the first point. A control group is identified as a subset of frames of the second buffer. Correlations of extracted features of the control group to extracted features of successive windows of frames of the first buffer are computed, the extracted features being based on spatial information and temporal information of the video stream. A delay between the video stream collected at the first point and the video stream collected at the second point is identified according to a maximum correlation of the correlations.

Abstract: A source quality of a source video and a source content complexity of the source video are identified. Parameter constraints with respect to parameters of an operation are received. The source video quality, source content complexity, and parameter constraints are applied to a deep neural network (DNN) producing DNN outputs. In an example, the DNN outputs are combined using domain knowledge to provide the filter parameters, as predicted, to a filter chain, such that applying the filter chain to the input source video results in an output video achieving the full reference video quality score. In another example, the DNN outputs are combined using domain knowledge to provide the filter parameters, as predicted, to a filter chain, such that applying the filter chain to the input source video results in an output video achieving the full reference video quality score.

Abstract: A method or system is disclosed to assess transmission errors in a visual media input. Domain knowledge is obtained from the visual media input by content analysis, codec analysis, distortion analysis, and human visual system modeling. The visual media input is divided into partitions, which are passed into deep neural networks (DNNs). The DNN outputs of all partitions are combined with the guidance of domain knowledge to produce an assessment of the transmission error. In one or more illustrative examples, transmission error assessment at a plurality of monitoring points in a visual media communication system is collected and assessed, followed by quality control processes and statistical performance assessment on the stability of the visual communication system.

Abstract: The present invention provides a silicon carbide composite wafer and a manufacturing method thereof. The silicon carbide composite wafer includes (a) a silicon carbide material and (b) a wafer substrate, and the upper surface of the wafer substrate is bonded to the lower surface of the silicon carbide material, wherein the lower surface of the silicon carbide material and/or the upper surface of the wafer substrate undergo a surface modification, thereby allowing the silicon carbide material to be bonded to the wafer substrate directly and firmly. The technical effects of the present invention include achieving strong bonding between the wafer and the substrate, reducing manufacturing process, increasing yield rate, and achieving high industrial applicability.

Abstract: Correlated quality-of-experience (QoE) and latency measures are generated at a plurality of monitoring points along a multimedia delivery chain including multiple video operations. At each of the plurality of monitoring points, an absolute QoE measure defined on a human perceptual quality scale for media content is computed, and one or more of content extraction or feature extraction on the media content are performed. To a common middleware from each of the plurality of monitoring points, the respective QoE measure and results of the one or more of content extraction or feature extraction are transmitted. Computing and updating an absolute QoE measure for each of the plurality of monitoring points is performed. Computing and updating latencies between multiple monitoring points at the middleware using the results from each of the plurality of monitoring points is also performed.

Abstract: Banding effects in an image or video are assessed. The image or each frame of a video is decomposed into luminance or color channels. Signal activity is computed at each spatial location in each channel. A significance of the signal activity at each spatial location is determined by comparing each element of the signal activity with a significance threshold. Banding pixels are detected as those pixels of the image or frame having significant signal activity at their respective spatial locations and having non-significant signal activity of at least a minimum threshold percentage of neighboring pixels to the respective spatial locations.

Abstract: The disclosure may provide a method for obtaining a document layout, an electronic device, and a storage medium. The method may include: obtaining a plurality of characters and character information of each of the plurality of characters in a target document; generating a character fully-connected graph based on the plurality of characters and the character information of each of the plurality of characters; obtaining a spatial semantic feature of each of the plurality of characters; generating types of character vertices based on the character information of each of the plurality of characters; generating types of edges based on the spatial semantic feature of each of the plurality of characters, and the character information of each of the plurality of characters; and obtaining a document layout of the target document based on the types of the character vertices and the types of the edges.

Abstract: The present invention provides a ceramic-circuit composite structure, comprising: a ceramic plate with a supporting surface that has a recessed supporting portion; a curved-surface circuit buried in the ceramic plate; and a power supply module electrically connected to the curved-surface circuit. Moreover, the present invention provides a method for making the ceramic-circuit composite structure. The ceramic-circuit composite structure of the present invention makes use of the curved-surface circuit to improve the prior art problem that a planar circuit has less static electricity or lower temperature at the center than in the peripheral region.

Abstract: Aspects of the present disclosure relate to the assessment on how well and consistent the quality of a video asset satisfies a given target quality level or a time-varying target quality curve, and the optimization on encoding configuration to achieve the best compromise between satisfying the target quality requirement and saving the bit rate/bandwidth cost. The application scope of the present disclosure is generally in, but not limited to, the field of video coding and distributions, including both live and file-based video encoding, broadcasting and streaming systems. Methods and systems implemented based on the present disclosure may achieve the highest accuracy approaching any given target quality with the smoothest quality variation over time, while maximally reduce bit rate/bandwidth and video distribution cost by optimally determining video encoding configurations and parameters.

Abstract: The disclosure provides a method and an apparatus for extracting content from a document, an electronic device, and a storage medium, which relates to the field of artificial intelligence (AI) technologies such as natural language processing (NLP), deep learning (DL), knowledge graph (KG). The detailed implementation scheme is: obtaining the document; performing anchor search on the document to obtain anchor information corresponding to the document; determining region information of content to be extracted based on the anchor information; and extracting the content to be extracted from the document based on the region information.

Abstract: Correlated quality-of-experience (QoE) and latency measures are generated at a plurality of monitoring points along a multimedia delivery chain including multiple video operations. At each of the plurality of monitoring points, an absolute QoE measure defined on a human perceptual quality scale for media content is computed, and one or more of content extraction or feature extraction on the media content are performed. To a common middleware from each of the plurality of monitoring points, the respective QoE measure and results of the one or more of content extraction or feature extraction are transmitted. Computing and updating an absolute QoE measure for each of the plurality of monitoring points is performed. Computing and updating latencies between multiple monitoring points at the middleware using the results from each of the plurality of monitoring points is also performed.

Abstract: The present disclosure provides a form information extracting method, apparatus, electronic device and storage medium and relates to the field of artificial intelligence such as natural language processing, computer vision and deep learning. The method includes: for a form to be processed, obtaining feature information of characters in the form, respectively; determining types of the characters respectively and determining a reading order of the characters according to the feature information; extracting a predetermined type of information content from the form according to the types and the reading order of the characters. The solution of the present disclosure may be applied to save the manpower and time costs, and improve the information-extracting efficiency and the accuracy of extraction results.

Abstract: The present invention provides an aluminum nitride wafer and a method for making the same. The method includes forming at least one alignment notch in or at least one flat alignment edge on a periphery of the aluminum nitride wafer. The alignment notch and the flat alignment edge can prevent the aluminum nitride wafer from being in a poor state during the semiconductor manufacturing process and makes it possible to position the aluminum nitride wafer precisely so that the fraction defective can be lowered. The aluminum nitride wafer of the present invention has advantages of effective insulation, efficient heat dissipation, and a high dielectric constant, and can be used in semiconductor manufacturing processes, electronic products, and semiconductor equipment.