Abstract: An account association unit associates the user account of a service user with the user account of a service provider in a case where the service user starts using a service provided by the service provider. An analysis unit sets, as a target image, an image, which is stored after the user account of the service user is associated with the user account of the service provider, among images stored in the image storage unit for the user account of the service provider, and analyzes an object shown in the target image. An image transmission unit transmits the target image to the image storage unit for the user account of the service user at a preset time point for image transmission in a case where the object relating to the service user is shown in the target image.

Abstract: A mixed-media ACD device is configured to monitor one or more encounter participants of a patient encounter and includes a machine vision system configured to obtain machine vision encounter information concerning the patient encounter. An audio recording system is configured to obtain audio encounter information concerning the patient encounter, wherein the audio recording system includes a plurality of discrete audio acquisition devices.

Abstract: Provided is a medicine identifying system which enables automatization of medicine identification. A medicine identifying system is constituted of a medicine photographing device and a computer. Medicine identifying software is installed in the computer. At the time of performing medicine identification, a user first sets a medicine to be identified in the medicine photographing device. Next, the medicine photographing device starts to photograph the medicine by using an operation of the user with respect to the computer as a trigger. A photographed image of the medicine is transmitted to the computer as data. Then, the medicine identifying software refers to a database based on this image data to search the medicine.

Abstract: In a computer-implemented method for generating an interactive digital video content item, a digital video content item is accessed. Subject recognition is performed on the digital video content item, wherein the subject recognition automatically identifies a visual subject within the digital video content item. Responsive to identifying the visual subject, an interactive region is applied to visual subject within the digital video content item, wherein the interactive region enables presentation of content related to the visual subject in response to a user interaction with the interactive region during presentation of the digital video content item.

Abstract: Provided is an image data processing method. First, decoding processing designed (step S1) in such a manner that a moving picture X is singly processed and that a moving picture Y and Z having low vertical resolutions can be combined together to be subjected to decoding processing. Subsequently, each of the moving picture X, Y, and Z is encoded (step S2). Next, encoded data of the moving picture X is singly decoded, and the moving picture X is restored and displayed on a display unit of the image processing device at a predetermined timing. Meanwhile, respective pieces of encoded data of the moving picture Y and Z are combined together and are decoded depending on respective display timings, and the moving picture X and Y are restored and further separated from each other to be displayed on the display unit at the respective timings (step S3).

Abstract: Provided are a video-recording method and apparatus, and an electronic device. The method comprises: during the process of playing target videos, obtaining a plurality of first pictures by intercepting, an editing process carried out by a user on an edit panel, and obtaining a plurality of second pictures by respectively carrying out picture conversion on the played target videos multiple times; then, obtaining a plurality of frame images by respectively superimposing the plurality of first pictures with the corresponding second pictures; and then generating recorded video segments according to a video stream obtained by synthesizing the plurality of frame images and an audio stream of target videos, thereby satisfying personalized requirements of users during a video-recording process.

Abstract: A target DVR device is configured to receive a transfer request for a source DVR device to transfer media content stored on the source DVR device. The target DVR device transmits an initiation request to a media content transfer management system, the initiation request indicating a request to authorize the transfer of the media content from the source DVR device. The media content transfer management system is configured to transmit a command to the source DVR device, the command configured to put the source DVR device in a media content transfer mode. The target DVR device further receives, from the source DVR device over a local connection, a discovery message, and establishes, based on the discovery message, a communication session with the source DVR device over the local connection, and receives, by way of the communication session, the media content from the source DVR device.

Abstract: A method includes defining first, second, and third shards of raw three-dimensional video data in a state file, wherein each shard includes raw video feeds; assigning each shard to a corresponding worker node in a set of worker nodes; processing the shards at the set of worker nodes to generate one or more three-dimensional video renders for each shard; determining, from the state file, that processing of the first shard is complete, processing of the second shard is complete, and processing of the third shard is incomplete; and generating three-dimensional content by concatenating a first three-dimensional video render, a first audio render associated with the first shard, a second three-dimensional video render, and a second audio render associated with the second shard, and a filler video that is a placeholder for a third three-dimensional video render until the third shard is processed.

Abstract: The present disclosure discloses an image decryption method that includes steps outlined below. Control information in an image stream is read and decrypted. Image stream packets in the image stream are read according to the control information. According to the control information, pixel data of a first reference frame from a first temporary storage block of a memory module and/or of a second reference frame from a second temporary storage block of the memory module are selectively read. A decryption process is performed according to the image stream packets and selectively according to the pixel data of the first and/or the second reference frame to generate pixel data of a decrypted frame. During the decryption process, the pixel data of the decrypted frame is transmitted to a post-processing circuit and is stored to one of the first and the second temporary storage blocks according to the control information.

Abstract: A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.

Abstract: Implementations generally relate to providing smart tags. In some implementations, a method includes receiving, at a server, a video stream from a video camera. The method further includes receiving, at the server, a plurality of tags from a plurality of client devices, where each tag of the plurality of tags tags a portion of the video stream. The method further includes tagging the video stream based on the plurality of tags. The method further includes grouping the plurality of tags into a plurality of tag groups, where each tag group includes one or more tags received from a particular client device.

Abstract: A computer vision system includes a camera that captures a plurality of image frames in a target field. A user interface is coupled to the camera. The user interface is configured to perform accelerated parallel computations in real-time on the plurality of image frames acquired by the camera. The system provides identification and quantification of space use at a sub room level of granularity.

Abstract: A method of video operations includes generating derivative byproducts related to encoded video captured of a scene, initializing a first operation based on the encoded video, and initializing a second operation different from the first operation based on the derivative byproducts.

Abstract: The present disclosure relates to a video subtitle display method and apparatus. The method includes receiving a request to play a target video sent by a terminal; determining a display mode of a subtitle according to a content type corresponding to the subtitle of the target video; and controlling the terminal to display the subtitle on a video picture according to the display mode when the target video is played. The video subtitle display method and apparatus provided by the embodiments of the present disclosure enable the display mode of the subtitle of the video to be changed according to the content type corresponding to the subtitle, and therefore, satisfying the user's viewing requirements for subtitles of different content types.

Abstract: A content annotation system includes a computing platform having a hardware processor and a memory storing a tagging software code including an artificial neural network (ANN). The hardware processor executes the tagging software code to receive content having a content interval including an image of a generic content feature, encode the image into a latent vector representation of the image using an encoder of the ANN, and use a first decoder of the ANN to generate a first tag describing the generic content feature based on the latent vector representation. When a specific content feature learned by the ANN corresponds to the generic content to feature described by the first tag, the tagging software code uses a second decoder of the ANN to generate a second tag uniquely identifying the specific content feature based on the latent vector representation, and tags the content interval with the first and second tags.

Abstract: A depth-sensitive system for monitoring for and detecting a predefined condition at a specific location within a visually monitored portion of an area. Plural depth-sensitive cameras are oriented with respect to the area whereby each camera has a field of view within the area that at least partially overlaps with the field of view of another of the plural cameras. The combined field of view encompasses all portions of interest of the area. A system for providing a notification of the visual detection of a predefined condition at a particular location or set of locations within an area of interest is provided, as is a system for generating a visual representation of human activity at one or more specific locations within an area of interest.

Abstract: Apparatus, systems and methods for monitoring a firearm discharge by using a discharge tracking device attached to a firearm, the device comprising a monitoring unit having a processor and a memory coupled to an input-output unit, a plurality of sensors including an accelerometer, a microphone, a gyroscope and a camera communicatively coupled to the input-output unit of the monitoring unit, a wireless communication interface configured to communicate with at least one other discharge tracking device. The memory is configured to store data from the plurality of sensors including video from the camera and audio from the microphone and the processor is configured to determine the discharge of the firearm by processing and interpreting signals generated by the plurality of sensors including video from the camera and audio from the microphone and transmitted via the discharge tracking device.

Abstract: Methods, Systems, and Devices are disclosed for using drone imaging to capture images at events. Capture instructions are provided to a drone device to aid in image capture. The capture instructions may include factors-of-interest. The factors-of-interest may include social graph information received from a social network and used to determine subject faces to target for image capture by the drone device. The factors-of-interest may also include current geographical location information of one or more friends identified in the social graph. This information may also be used to locate subjects for image capture. The social graph information may also be used to distribute any images captured to subjects appearing in those images.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media configured to process (including encoding and decoding) composition layouts. The video data includes a plurality of encoded two-dimensional sub-picture tracks associated with a viewport and a composition operation to compose the tracks. The composition operation comprises data indicative of a composition to perform on the plurality of two-dimensional sub-picture tracks to compose the tracks into a canvas associated with the viewport, and a composition layout operation to adjust the composition if the canvas comprises a composition layout created by two or more of the plurality of two-dimensional sub-picture tracks composed on the canvas.

Abstract: Certain configurations are described of methods and systems that can be used to image three-dimensional objects such as biological cells, biological tissues or biological organisms. The methods and systems can image the three-dimensional objects at reduced imaging times and with reduced data volumes.