A microscope system includes a microscope that acquires a microscopic image and circuitry. The circuitry causes the microscope to perform a series of image-shooting operations for acquiring a plurality of microscopic images and outputs an access code generated in response to the start of the series of image-shooting operations, the access code being used to access image-shooting information pertaining to the series of image-shooting operations.

Aspects of the subject disclosure may include, for example, a local server coupled to a plurality of client devices. The local server may receive encrypted content from one or more content sources and provide the content to the client devices. The local server and client devices may be part of a multi-client environment such as a hotel or conference center. The local server does not decrypt and re-encrypt content, thereby allowing the use of low cost equipment. Other embodiments are disclosed.

An augmented video system comprising: a server, a plurality of video cameras, a video storage device such as a database, and software capable of being operated on said server; wherein said plurality of video cameras capture a moment in time, each of said plurality of video cameras capturing a video file of said moment in time from a different perspective and storing each of said video files in a database; wherein said software combines each of said video files into a single combined video file; said combined video file being directed back to the server and said server generating a link to said combined video file; said combined video file being operably viewable as a video file on a computing device.

Various arrangements of a local cloud system for providing television services are presented. A facility cloud host system may have a content service provider interface that is used to receive live television channel streams from a television content service provider. The local cloud system may have a transcoder that transcodes the live television channels into a format to be transmitted locally to client devices. The local cloud system may provide access to recorded content from a remote master cloud host.

A method and a sports analytics system (SAS) for analyzing a live video broadcast stream (LVBS) of a sporting event are provided. The SAS splits the LVBS into a real time messaging protocol (RTMP) stream and a hypertext transfer protocol live stream (HLS) and analyses the RTMP stream using a phase difference between the RTMP stream and the HLS. The SAS detects persons present in a frame of the RTMP stream using a first set of cues and tracks the detected persons by analyzing preceding frames. The SAS recognizes the tracked persons using a second set of cues, assigns individual weights to each of the second set of cues, and compares the assigned weights of each of the recognized persons with pre-existing data of all players to identify the players in the frame. The SAS transmits the HLS and contextual interactive content of the identified players to a user device.

An example method includes maintaining (i) a scheduled playlist of media items for playback by one or more playback devices, (ii) a current playback position within the scheduled playlist, and (iii) a priority media item having a playback length. The method also includes receiving, from a playback device, a request to play back the scheduled playlist and, based on the received request, transmitting the priority media item to the playback device for playback beginning at a first time. The method also includes determining a next media item from the scheduled playlist based on the current playback position within the scheduled playlist at a second time that follows the first time by at least the playback length of the priority media item and, beginning with the next media item, transmitting one or more media items from the scheduled playlist to the playback device for playback after the priority media item.

A live event virtual experience is provided. Emotions of virtual spectators to a current situation occurring in a live event at a physical venue are determined from received data regarding reactions of the virtual spectators to the live event using bias detection. A historical sound clip that matches the emotions of the virtual spectators to the current situation occurring in the live event is retrieved. The historical sound clip that matches the emotions of the virtual spectators to the current situation occurring in the live event is input into a machine learning model that performs inverse bias mitigation to amplify bias and applies in-process adversarial fairness debiasing. The historical sound clip after performing the inverse bias mitigation to amplify the bias and applying the in-process adversarial fairness debiasing is converted to a standardized historical sound segment length. A sound representation is generated from the standardized historical sound segment length.

A set-top box receives original video streams and generates a guide video stream that includes each of the original video streams resized and arranged as a plurality of scaled video streams such that all of the scaled video streams are simultaneously visible and playing on the guide video stream. The guide video stream is displayed on a display device and the set-top box provides an interactive user interface on the display device in conjunction with the guide video stream to allow a user of the set-top box to select one of the scaled video streams for full screen playback. In response to the user selecting a particular scaled video stream on the guide video stream for full screen playback, the set-top box plays full screen on the display device a particular original video stream corresponding to the particular scaled video stream as received via the communication interface.

A live event virtual experience is provided. Emotions of virtual spectators to a current situation occurring in a live event at a physical venue are determined from received data regarding reactions of the virtual spectators to the live event using bias detection. A historical sound clip that matches the emotions of the virtual spectators to the current situation occurring in the live event is retrieved. The historical sound clip that matches the emotions of the virtual spectators to the current situation occurring in the live event is input into a machine learning model that performs inverse bias mitigation to amplify bias and applies in-process adversarial fairness debiasing. The historical sound clip after performing the inverse bias mitigation to amplify the bias and applying the in-process adversarial fairness debiasing is converted to a standardized historical sound segment length. A sound representation is generated from the standardized historical sound segment length.

Certain exemplary embodiments disclosed herein relate to systems and/or methods for distributing advertisements from a central advertisement network to one or more peripheral devices at a location via a local advertisement server. In certain exemplary embodiments, the local advertisement server within a location receives advertisements from the central advertisement network and rebroadcasts them to peripheral devices within that location. Advertising information may be tracked and reported, e.g., for accounting, revenue-sharing, and/or other purposes in certain exemplary embodiments. Thus, in certain exemplary embodiments, the distribution of advertisements is provided to peripherals via a non-web- and non-PC-dependent network. Moreover, in certain exemplary embodiments, reporting and advertising related communications are substantially bi-directional regardless of device type. Certain exemplary embodiments provide revenue sharing among some or all of the central advertising network provider, the proprietors of locations, operators tasked with maintaining the local ad server and/or the peripheral devices, etc.