Abstract: Provided is a method and system for determining plant leaf surface roughness. The method includes: acquiring a plurality of continuously captured zoomed-in leaf images by using a zoom microscope image capture system; determining a feature match set according to the zoomed-in leaf images; removing de-noised images of which the number of feature matches in feature match set is less than a second set threshold, to obtain n screened images; combining the n screened images to obtain a combined grayscale image; and determining plant leaf surface roughness according to the combined grayscale image. In the present disclosure, first, a plurality of zoomed-in leaf images are directly acquired by the zoom microscope image capture system quickly and accurately; the zoomed-in leaf images are then screened and combined to form a combined grayscale image; finally, three-dimensional roughness of a plant leaf surface is determined quickly and accurately according to the combined grayscale image.

Abstract: A video decoder may receive a supplemental enhancement information (SEI) processing order SEI message, decode a syntax element in the SEI processing order SEI message that indicates a preferred processing order of SEI messages in a bitstream, and process the SEI message present in the bitstream in accordance with the preferred processing order.

Abstract: A digital detection method and system for predicting drug resistance of transgenic maize are disclosed. The method includes acquiring an RGB image, three-dimensional point cloud data and chlorophyll relative content of a maize plant after medicament spraying at a current moment; calculating a pixel ratio and morphological feature according to the RGB image and three-dimensional point cloud data; inputting a detection parameter of the maize plant at the current moment into a series model to predict the detection parameter of the maize plant at a next moment to obtain a graph of change in the detection parameter in a next period; estimating a drug resistance characteristic according to the graph of the change in the detection parameter of the maize plant; and inputting the detection parameter of the maize plant at the current moment into a parallel model to predict the variety of the maize plant.

Abstract: Systems, methods, and instrumentalities are disclosed for a 360-degree video streaming. A video streaming device may receive a 360-degree video stream from a network node. The video streaming device may determine a viewport associated with the video streaming device and/or the 360-degree video stream. The video streaming device may determine (e.g., based on the viewport) to request in advance a first segment and a second segment of the 360-degree video stream. The video streaming device may determine a relative priority order for the first segment and the second segment. The video streaming device may generate an anticipated requests message. The anticipated requests message may indicate the determined relative priority order, for example, by listing the first segment and the second segment in decreasing relative priority based on the determined relative priority order. The video streaming device may send the anticipated requests message to the network node.

Abstract: The present disclosure relates to a rapid moisture detection device for a tea leaf processing process, and belongs to the field of moisture detection. According to the present disclosure, when a sliding unit drives a laser wave emission unit to move, the laser wave emission unit can also receive an echo reflected by tea leaves on a production line while emitting a laser wave, and then an upper computer determines the moisture content of the tea leaves on the production line based on the emitted laser wave and the received echo, so as to realize rapid, non-destructive, and high-throughput detection of the moisture content of the tea leaves.

Abstract: A method for monitoring rice bacterial blight includes: obtaining a multi-spectral image, severities of the rice bacterial blight, and accumulated temperature data of a rice field at different growth stages; obtaining resistance of rice varieties to the bacterial blight; extracting a mean canopy spectral reflectance of each plot in the rice field; conducting regression of the severity of the rice bacterial blight using a convolutional neural network based on the mean canopy spectral reflectance and the severity of the rice bacterial blight, and outputting a depth spectrum feature; training a disease severity regression model with the accumulated temperature data, the depth spectrum feature, and the resistance to the bacterial blight for each plot as an input and the corresponding severity as an output; and monitoring a severity of the rice bacterial blight in a to-be-monitored rice field using the disease severity regression model.

Abstract: A method for receiving and displaying media content may be provided. The method may include requesting a set of DASH video segments that are associated with various viewports and qualities. The method may include displaying the DASH video segments. The method may include determining a latency metric based on a time difference between the display of a DASH video segment and one of: a device beginning to move, the device ceasing to move, the device determining that the device has begun to move, the device determining that the device has stopped moving, or the display of a different DASH video segment. The different DASH video segment may be associated with one or more of a different quality or a different viewport.

Abstract: The present invention discloses compounds of Formula (I), and pharmaceutically acceptable salts and esters thereof: which inhibit the Apoptosis signal-regulating kinase 1 (ASK-1), which is associated with autoimmune disorders, neurodegenerative disorders, inflammatory diseases, chronic kidney disease, cardiovascular disease. The present invention further relates to pharmaceutical compositions comprising the aforementioned compounds for administration to a subject suffering from ASK-1 related disease. The invention also relates to methods of treating an ASK-1 related disease in a subject by administering a pharmaceutical composition comprising the compounds of the present invention. The present invention specifically relates to methods of treating ASK-1 associated with hepatic steatosis, including non-alcoholic fatty liver disease (NAFLD) and non-alcoholic steatohepatitis (NASH).

Abstract: Disclosed are systems, methods, apparatuses, and computer-readable media for processing video data. For instance, an apparatus for processing video data, may include: at least one memory; and at least one processor coupled to the at least one memory, the at least one processor being configured to: obtain a bitstream; retrieve a granularity type syntax element associated with the bitstream, the granularity type syntax element specifying a type of granularity of one or more pictures over which complexity metrics (CM) associated with the bitstream are applicable; retrieve a period type syntax element associated with the bitstream, the period type syntax element indicating an upcoming period of time or a set of pictures over which the CM are applicable; and decode a portion of the bitstream based on the granularity type syntax element and the period type syntax element.

Abstract: The present disclosure relates to a method and system for predicting a severity of bacterial blight of rice based on multi-phenotypic parameters. The method includes: calculating a rice spectral reflectance corresponding to each of the plots in a study area based on multi-spectral images, and screening characteristic variables based on a rice leaf chlorophyll content and a rice plant water content (WC) under stress of the bacterial blight to establish a new spectral index (SI); predicting the rice leaf chlorophyll content and the rice plant WC in the study area based on the rice spectral reflectance and regression model prediction, and predicting the incidence of the bacterial blight of rice; and obtaining quick indication of the severity of the bacterial blight of rice based on the new SI and the prediction. The method is suitable for high-throughput rice disease phenotype monitoring research.

Abstract: A video encoder maintains a first reference picture list; maintains a second reference picture list; determines that a picture is an instantaneous decoding refresh (IDR) picture; determines that reference picture list syntax elements are present in a slice header for the IDR picture; and in response to determining that the picture is the IDR picture and that the reference picture list syntax elements are present in the slice header for the IDR picture, updates the first reference picture list and the second reference picture list such that no picture in the first reference picture list and no picture in the second reference picture list precedes, in output order or decoding order, any preceding instant random access point (IRAP) picture in decoding order.

Abstract: Implementations of the present specification provide a method and an apparatus for managing a TLB cache in a virtualization platform, where the virtualization platform runs a plurality of virtual machines, each virtual machine is allocated with a unique VPID, and all virtual logical processors in the virtual machine share the VPID; and a guest process running in the virtual machine is allocated with a PCID. An identifier field of a TLB entry in the TLB cache includes a VPID and a PCID.

Abstract: The present disclosure provides a fluorescent probe for detection of jasmonic acid (JA) and a preparation method thereof, and a detection method of JA, belonging to the technical field of component detection, The fluorescent probe for detection of JA includes a cobalt-based metal-organic framework (MOF) material, and aminated carbon quantum dots (CQDs) and a molecular imprinting polymer (MIP) that are distributed on a surface of the Co-MOF material; where the MIP has a molecular imprinting (MI) of the JA. In the present disclosure, the NCQDs are distributed on the surface of the Co-MOF material, and cobalt ions can undergo a coordination reaction with amino groups to change a charge distribution on a surface of the NCQD; meanwhile, the Co-MOF material can also avoid aggregation of the NCQDs to improve a detection stability.

Abstract: A method and system for detecting Fusarium moniliforme species of rice seeds are provided, relating to the field of rapid quality detection of rice seeds. The method includes: inputting a hyperspectral image of to-be-tested rice seeds to a model for detecting Fusarium moniliforme species of rice seed, to determine a test result of the rice seeds, where the test result is no Fusarium moniliforme or a Fusarium species. The model for detecting Fusarium moniliforme species of rice seed is determined based on activated wavelengths and an original deep convolutional neural network; the activated wavelengths are wavelengths activated by a trained deep convolutional neural network upon correct classification; and the trained deep convolutional neural network is a neural network obtained by training the original deep convolutional neural network based on the training set.

Abstract: Methods are described herein for signaling information regarding different viewpoints in a multi-viewpoint omnidirectional media presentation. Techniques disclosed include receiving, from a server, information identifying groups of viewpoints, including information identifying a first group of viewpoints and a second group of viewpoints. And further receiving, from the server, information identifying one or more omnidirectional videos captured from respective viewpoints belonging to the first group and information identifying one or more omnidirectional videos captured from respective viewpoints belonging to the second group.

Abstract: In one example, a device for decoding video data includes one or more processors implemented in circuitry and configured to: determine that a value for a syntax element representing a number of profile-tier-level (PTL) data structures in a video parameter set (VPS) of a bitstream is equal to a total number of output layer sets (OLSs) specified for the VPS; in response to determining that the value for the syntax element representing the number of profile-tier-level data structures in the VPS is equal to the total number of OLSs specified for the VPS, infer values for OLS PTL index values, without explicitly decoding values for the OLS PTL index values; and decode video data of one or more OLSs using corresponding PTL data structures of the PTL data structures in the VPS according to the inferred values for the OLS PTL index values.

Abstract: Systems, methods, and instrumentalities are disclosed for a 360-degree video streaming. A video streaming device may receive a 360-degree video stream from a network node. The video streaming device may determine a viewport associated with the video streaming device and/or the 360-degree video stream. The video streaming device may determine (e.g., based on the viewport) to request in advance a first segment and a second segment of the 360-degree video stream. The video streaming device may determine a relative priority order for the first segment and the second segment. The video streaming device may generate an anticipated requests message. The anticipated requests message may indicate the determined relative priority order, for example, by listing the first segment and the second segment in decreasing relative priority based on the determined relative priority order. The video streaming device may send the anticipated requests message to the network node.

Abstract: It is provided a recognition device for analyzing a starvation extent of a whiteleg shrimp based on underwater imaging, including a bracket, a camera mounted on a top of the bracket, a plurality of light sources for illumination, and a processor connected with the camera. The processor receives a shrimp image collected by the camera, extracts an edge image of the shrimp after the collected shrimp image is preprocessed, and calculates a movement speed of the shrimp and a quantity of baits after a head and a tail are recognized, to recognize starvation extent of the shrimp. It is also provided a recognition method for analyzing starvation extent of the whiteleg shrimp based on underwater imaging. The present disclosure may guide feeders to feed and realize reasonable culture for the shrimp, by capturing images of the shrimp in time and determining starvation the extent of shrimp.

Abstract: A client device adaptively streams a 360-degree video. A first segment is displayed based on a first viewing direction at a first time, where the first viewing direction is associated with a first viewport. The client requests a first base buffer segment based on the first viewport. The first base buffer segment has a presentation time after the first segment. At a second time, the viewing direction changes to a second viewing direction associated with a second viewport. The client requests, prior to the presentation time, a first viewport buffer segment based on the second viewport, with the same presentation time. The client device displays a second segment at the presentation time, wherein the second segment is either the first viewport buffer segment or the first base buffer segment. The client provides reports on viewport switching latency and on the most-requested segments.

Abstract: Example techniques and devices are disclosed. An example device for coding video data includes memory configured to store the video data and one or more processors implemented in circuitry and coupled to the memory. The one or more processors are configured to determine whether an entry in a reference picture list for a current picture is equal to no reference picture. Based on the entry being equal to no reference picture, the one or more processors are configured to determine additional information associated with the entry. The one or more processors are configured to check a constraint for the entry based on the additional information and code the current picture in accordance with the constraint.