Abstract: A solution is provided for detecting video highlights of a sports video. A video highlight of a sports video is a portion of the sports video and represents a semantically important event captured in the sports video. An audio stream associated with the sports video is evaluated, e.g., the loudness and length of the loudness of the portions of the audio stream. Video segments of the sports video are selected based on the evaluation of the audio stream. Each selected video segment represents a video highlight candidate of the sports video. A trained audio classification model is used to recognize the voice patterns in the audio stream associated with each selected video segment. Based on the comparison of the recognized video patterns with a set of desired voice patterns, one or more video segments are selected as the video highlights of the sports video.

Abstract: The present disclosure provides a driverless vehicle simulation test method and apparatus, a device and a readable medium. According to the present disclosure, an accident video is obtained from an accident video database of a traffic management department; corresponding accident scenario information is obtained according to the accident videos; a simulated accident scenario is constructed according to the accident scenario information, and vehicle behaviors of the simulated driverless vehicle in the simulated accident scenario are tested. With the accident video being obtained from the accident video database of the traffic management department, the present disclosure can ensure authenticity and accuracy of the simulated accident scenario for simulation test of the driverless vehicle, therefore can perform real and valid test for the driverless vehicle and effectively improve the accuracy and validity of the driverless vehicle simulation test.

Abstract: A solution is disclosed for conveniently capturing video highlights in a sports event by tracking head rotation movement of a user and synchronizing rotations of a video capturing device (e.g., the user's mobile phone) on a rotary station with the head rotation movement of the user. The user wears a rotation tracking device, which tracks the head rotation movement of the user in connection with watching an event. The head rotation data from the user's head rotation movement is filtered to generate filtered head rotation data, which excludes noise motions in the head rotation data. Corresponding rotary control data is generated based on the filtered head rotation data. The rotary control data is used to instruct a rotary system to rotate synchronously with head rotations of the user when a video capturing device mounted on the rotary system captures videos of the sports event.

Abstract: Embodiments disclosed provide a solution to detect a rally in a sports game. One or more stroke actions or non-stroke actions are detected based on motion data detected by a sensor attached to a sports instrument of a user. Using a trained stroke classification model, each detected stroke action is classified into a plurality of classes. Additionally, a determination is made whether each detected non-stroke action is an intentional special user action. The determination whether a non-stroke action is an intentional special user action is made based on a customized set of definitions defining one or more special user actions. One or more rallies are then detected based on the classified stroke actions and intentional special user actions.

Abstract: A molecular probe includes the following formula: P-L-C wherein P is a EDB-FN targeting peptide, C is a contrast agent; and L is a non-peptide linker that covalently links the peptide to the contrast agent.

Abstract: A solution is disclosed for conveniently capturing video highlights in a sports event by tracking head rotation movement of a user and synchronizing rotations of a video capturing device (e.g., the user's mobile phone) on a rotary station with the head rotation movement of the user. The user wears a rotation tracking device, which tracks the head rotation movement of the user in connection with watching an event. The head rotation data from the user's head rotation movement is filtered to generate filtered head rotation data, which excludes noise motions in the head rotation data. Corresponding rotary control data is generated based on the filtered head rotation data. The rotary control data is used to instruct a rotary system to rotate synchronously with head rotations of the user when a video capturing device mounted on the rotary system captures videos of the sports event.

Abstract: The present application discloses a method and apparatus for constructing a testing scenario for a driverless vehicle. An embodiment of the method includes: acquiring a traffic image including a scenario object, the scenario object comprising a roadway object, a traffic sign object, a vehicle object, or a pedestrian object; acquiring attribute information of the scenario object based on the traffic image; and constructing the testing scenario for the driverless vehicle based on the scenario object and the attribute information. The present application enables constructing the testing scenario for the driverless vehicle with real attributes of a roadway object, a traffic sign object, a vehicle object, or a pedestrian object. Therefore, a real traffic condition is restored and employed as the testing environment for the driverless vehicle, and the accuracy of the driverless vehicle testing is improved.

Abstract: A compound includes at least one targeting peptide coupled to a detectable moiety. The targeting peptide binds to EDB-FN or EDA-FN and includes at least one of amino acid sequence selected from the group consisting of SEQ ID NOs: 1-30.

Abstract: A solution is provided to enhance motion detection and recognition of moving objects associated with various sports by embedding motion sensors into sports instruments such as tennis rackets, badminton rackets, baseball bats and golf clubs, that are swung in a three-dimensional (3D) space. A motion sensor device inserted and locked inside a sports instrument is configured to detect motions associated with movements associated with the sports instrument. The device is shaped to be inserted into a sensor housing attached to a selected location inside the sports instrument. The device includes a motion sensor for detecting motion associated with the movement of the sports instrument, a cover for protecting the motion sensor, and a locking mechanism attached to the sensor housing for locking the motion sensor inside the sensor housing.

Abstract: A system is provided for real-time single-view action recognition for sports videos based on key pose analysis of the sports videos. A training module of the system trains feature models for a sports action distinctively associated with each sports type using a large corpus of training videos. The trained feature models include a player detector for detecting locations of a player in video frames of a training video, a set of key pose identifiers for identifying distinctive poses of a sports action associated with a type of sports, and a meta classifier for determining a likelihood that the sports action has happened in a sports video based on the key poses analysis. Responsive to an input sports video being received for real-time action recognition, a set of trained feature models associated with the sports type of the input video are selected and applied to the input video.

Abstract: A display panel including first and second pixel structures and a light shielding pattern layer is provided. The first pixel structure includes a first pixel electrode including first pixel electrode bars, wherein a first maximum spacing is formed between any two adjacent first pixel electrode bars of the first pixel structure. The second pixel structure includes a second pixel electrode including second pixel electrode bars, wherein a second maximum spacing which is larger than the first maximum spacing is formed between two adjacent second pixel electrode bars of the second pixel structure. The light shielding pattern layer has first and second light shielding portions. The area of the second light shielding portion is larger than the area of the first light shielding portion. The first pixel electrode is close to the second light shielding portion and the second pixel electrode is away from the second light shielding portion.

Abstract: A solution is provided to enhance motion detection and recognition of moving objects associated with various sports by intelligently embedding motion sensors into sport instruments such as tennis rackets, badminton rackets, baseball bats and golf clubs, that are swung in a three-dimensional (3D) space. The motion sensors embedded inside the sport instruments are securely locked and are detachable for replacement. A motion sensor inserted and locked inside a sport instrument is configured to detect motions associated with movements associated with the sport instrument. The motion parameters associated with the detected motion are collected through the embedded motion sensor and analyzed by a motion detection and recognition system. Based on the analysis of the motion parameters, various types of sports performance reports and performance improvement recommendations are generated for users of the sport instruments.

Abstract: The invention concerns a method of forming a graphene layer involving: heating a support layer in a reaction chamber; and forming the graphene layer on a surface of the support layer by: a) during a first time period, introducing into the reaction chamber an organic compound gas to cause a formation of carbon atoms on the surface; b) during a second time period after the first time period, reducing a rate of introduction of the organic compound gas into the reaction chamber and introducing into the reaction chamber a further gas, wherein the further gas is a carbon etching gas; and repeating a) and b) one or more times.

Abstract: A solution for composing a multi-angle video from videos captured from different angles is disclosed. A request to compose a multi-angle video is received from a target user, requesting composing a multi-angle video using a video captured by the target user and videos captured by other users nearby the target user. A plurality of videos captured by nearby users are identified based on metadata associated with the captured videos, e.g., geolocation and timestamps of the videos, and presented to the target user. A video sequence including two or more videos from the plurality of videos captured by nearby users is received and the multi-angle video is composed based on the received video sequence.

Abstract: A solution is provided to enhance motion detection and recognition of moving objects associated with various sports by embedding motion sensors into sports instruments such as tennis rackets, badminton rackets, baseball bats and golf clubs, that are swung in a three-dimensional (3D) space. A motion sensor device inserted and locked inside a sports instrument is configured to detect motions associated with movements associated with the sports instrument. The device is shaped to be inserted into a sensor housing attached to a selected location inside the sports instrument. The device includes a motion sensor for detecting motion associated with the movement of the sports instrument, a cover for protecting the motion sensor, and a locking mechanism attached to the sensor housing for locking the motion sensor inside the sensor housing.

Abstract: A solution for composing a multi-angle video from videos captured from different angles is disclosed. A request to compose a multi-angle video is received from a target user, requesting composing a multi-angle video using a video captured by the target user and videos captured by other users nearby the target user. A plurality of videos captured by nearby users are identified based on metadata associated with the captured videos, e.g., geolocation and timestamps of the videos, and presented to the target user. A video sequence including two or more videos from the plurality of videos captured by nearby users is received and the multi-angle video is composed based on the received video sequence.

Abstract: A method for generating and discovering online communication groups based on at least one condition is provided. The method may include collecting user real-time data. The method may also include initiating first online communication groups, wherein a user is enabled to specify conditions associated with the collected user real-time data. The method may further include applying the specified conditions to the first online communication groups. Additionally, the method may include initiating second online communication groups. The method may also include clustering conditions associated with the collected user real-time data, wherein the clustered conditions are applied to the second online communication groups. The method may further include generating the first and second online communication groups based on the specified and clustered conditions.

Abstract: A method for generating and discovering online communication groups based on at least one condition is provided. The method may include collecting user real-time data. The method may also include initiating first online communication groups, wherein a user is enabled to specify conditions associated with the collected user real-time data. The method may further include applying the specified conditions to the first online communication groups. Additionally, the method may include initiating second online communication groups. The method may also include clustering conditions associated with the collected user real-time data, wherein the clustered conditions are applied to the second online communication groups. The method may further include generating the first and second online communication groups based on the specified and clustered conditions.