Abstract:
A method for generating an augmented reality module by an apparatus is described. Processing circuitry of the apparatus obtains preset third party software development interface information, the third party software development interface information being uniformly encapsulated with an AR core engine and an AR rendering engine, and a system parameter and pose information that are associated with the AR core engine being passed into the AR rendering engine. The processing circuitry generates, according to the third party software development interface information and a document configured corresponding to the third party software development interface information, an AR module of a mobile client, the correspondingly configured document comprising interface use information of the AR core engine and the AR rendering engine.
Abstract:
In the present disclosure, a client feature and a pre-stored template image feature are obtained; the obtained client feature and template image feature are projected according to a preset projection matrix, to generate a projection feature pair, where the projection matrix is formed by training of a first template image feature of a same object and a second template image feature of a different object; and similarity calculation is performed on the projection feature pair according to a preset similarity calculation rule, to generate a similarity result and prompt the similarity result to a client.
Abstract:
Systems and methods are provided for facial property identification. For example, an image sample is acquired; a first effective area image of a face is acquired in the image sample; first textural features of the first effective area image are extracted; and the first textural features of the first effective area image are classified by race, gender and age using a race classifier, a gender classifier and an age classifier successively to obtain a race property, a gender property and an age property of the face.
Abstract:
A computer system obtains a streaming media signal source, selects a testing sample from the streaming media signal source, records characteristics of the testing sample, and obtains an expected output according to the characteristics of the testing sample. Next, the computer system converts the testing sample into a digital streaming format preset by a service provider and initiates a media recognition request according to the testing sample in the digital streaming format to the service provider. After receiving a media recognition result of the testing sample returned by the service provider according to the media recognition request, the computer system compares the media recognition result with the expected output and indicates whether the service provider is normal in accordance with the comparison result.
Abstract:
A method and device for performing audio recognition, including: collecting a first audio document to be recognized; initiating calculation of first characteristic information of the first audio document, including: conducting time-frequency analysis for the first audio document to generate a first preset number of phase channels; and extracting at least one peak value characteristic point from each phase channel of the first preset number of phrase channels, where the at least one peak value characteristic point of each phase channel constitutes the peak value characteristic point sequence of said each phase channel; and obtaining a recognition result for the first audio document, wherein the recognition result is identified based on the first characteristic information, and wherein the first characteristic information is calculated based on the respective peak value characteristic point sequences of the preset number of phase channels.
Abstract:
A method and an apparatus for image identification are provided. For example, the processing circuitry of the apparatus obtains first feature values of a first image feature for pixels in an image for barcode detection. The processing circuitry calculates measures that are indicative of changes of the first feature values in multiple directions within the image and determines a target area in the image for the barcode detection according to the measures. Further, the processing circuitry divides the target area into a plurality of sub-areas, and filters the sub-areas to determine a target sub-area for the barcode detection. Then, the processing circuitry obtains second feature values of a second image feature for the target sub-area. The second image feature is derived from the first image feature. The processing circuitry then identifies a barcode type in the target sub-area according to the second image feature.
Abstract:
A method of presenting interactive content at a client device is disclosed. The client device records, in real-time, an audio stream of a piece of multimedia content broadcast by a content display device and sends an audio fingerprint of the piece of the multimedia content to a server. The server then determines, based on the audio fingerprint, an identifier of the piece of multimedia content, retrieves, based on the identifier of the piece of multimedia content, interactive content associated with the piece of multimedia content, and returns the interactive content associated with the piece of multimedia content to the client device. After receiving, from the server, the interactive content associated with the piece of multimedia content, the client device renders the interactive content to the user of the client device.
Abstract:
A method, system and computer storage medium for visual searching based on cloud service is disclosed. The method includes: receiving, from a client, an image recognition request of cloud service, the request containing image data; forwarding, according to a set classified forwarding rule, the image data to a corresponding classified visual search service; recognizing, by the respective corresponding classified visual search services, corresponding classified type information in the image data, and determining a corresponding name of the image data in accordance with the respective classified type information, and obtaining a classified visual search result; summarizing and sending, to a client, the classified visual search result of the corresponding classified visual search service. By detection and recognition of the classified type information of the image data, the comprehensive feature information of a picture is obtained, based on which further applications are allowed, and thus the user experience is improved.
Abstract:
An electronic device with one or more processors, memory, and a display detects a first trigger event and, in response to detecting the first trigger event, collects a audio sample of environmental audio data associated with a media item. The device transmits information corresponding to the audio sample to a server. In response to transmitting the information, the device obtains attribute information corresponding to the audio sample, where the attribute information includes metadata for the media item, a time indicator of a position of the audio sample in the media item, and stream information for the media item. The device displays a portion of the attribute information. The device detects a second trigger event and, in response to detecting the second trigger event: determines a last obtained time indicator; streams the media item based on the stream information; and presents the media item from the last obtained time indicator.
Abstract:
A server system with one or more processors and memory obtains, from a client device, a card image which includes an image of a card, and identifies a card configuration type corresponding to the card in the card image based on a database of stored card configuration types. Each stored card configuration type in the database is associated with layout information regarding respective features and information regions for the stored card configuration type. In accordance with the identified card configuration type, the server system determines one or more information regions of the card image containing respective card information of the card. The server system extracts at least a portion of the card information of the card from the one or more information regions of the card image and transmits, to the client device, at least the extracted portion of the card information.