A video optimizer receives a request to optimize a source file and stream the optimized file. The request may be accompanied by a key uniquely identifying the original source file to be optimized and an optimized version of the source file to stream to the client. The key uniquely identifies the source video file as it exists on an origin server to prevent transmission of modified source video and the optimized version of the source file by optimization parameters to ensure compatibility with the user device. The video optimizer queries a cache database in response to the received request, which contains references keys and locations of optimized source files among local caches in a cluster of video optimizers. The cache database responds indicates whether a matching optimized version of the source file exists in a local cache of a given video optimizer in the cluster.

An objective of the present invention is to provide a method and apparatus for video transmission, wherein the video is initially stored in one or more other network devices. The method comprises receiving a second request for a video from a user equipment; forwarding the second request to other network device corresponding to the second request; determining a manner of obtaining the video based on a response, received from the other network device, to the second request; and transmitting the video obtained based on the manner of obtaining the video to the user equipment. Compared with the prior art, by uniformly determining a manner of obtaining a video and transmitting the obtained video to the user equipment the present invention, the present invent on lowers deployment difficulty, reduces bandwidth resource demands, and enhances the video sharing degree.

The various implementations described herein include methods, devices, and systems for detecting motion and persons. In one aspect, a method is performed at a smart home system that includes a video camera, a server system, and a client device. The video camera captures video and audio, and wirelessly communicates, via the server system, the captured data to the client device. The server system: (1) receives and stores the captured data from the video camera; (2) determines whether an event has occurred, including detected motion; (3) in accordance with a determination that the event has occurred, identifies video and audio corresponding to the event; and (4) classifies the event. The client device receives information indicative of the identified events, displays a user interface for reviewing the video and audio stored by the remote server system, and displays the at least one classification for the event.

The various implementations described herein include methods, devices, and systems for detecting motion and persons. In one aspect, a method is performed at a smart home system that includes a video camera, a server system, and a client device. The video camera captures video and audio, and wirelessly communicates, via the server system, the captured data to the client device. The server system: (1) receives and stores the captured data from the video camera; (2) determines whether an event has occurred, including detected motion; (3) in accordance with a determination that the event has occurred, identifies video and audio corresponding to the event; and (4) classifies the event. The client device receives information indicative of the identified events, displays a user interface for reviewing the video and audio stored by the remote server system, and displays the at least one classification for the event.

A method, a system, a terminal and a server for switching from a video live stream to video-on-demand data are provided. The method includes: sending, by a terminal, a video acquisition request for a target video to a server; acquiring, by the server, video data of the target video from a live stream of the target video in response to the video acquisition request, and storing the acquired video data of the target video; sending, by the terminal, a video editing request for the target video to the server; performing, by the server, non-linear editing on the video data of the target video in response to the video editing request; and storing, by the server, the edited video data as video-on-demand data of the target video.

Various embodiments for creating media clips are disclosed. In one example, a method is performed by a server for managing the creation and distribution of media clips, where the server associates a content capture device with an event, the content capture device for recording at least a portion of the event, receives a tag notification from a content tagging device via a network interface, generates a media clip creation command to the content capture device via the network interface, sends the media clip creation command to the content capture device, and receives a media clip created by the content capture device in response to receiving the media clip creation command.

Techniques described herein provide for a live advertising processing engine service to act as an intermediary between client applications and advertising networks. The live advertising processing engine service can provide an interface with which the client can interact, via an application programming interface (API) or directly through the use of a standardized language, thereby allowing client applications to receive advertisement data without the need to be customized to communicate with specific advertising networks. The live advertising processing engine service can further track where, in playback the live content, a client currently is, to indicate to the client—or other application—when advertisement breaks are and/or provide supplemental advertisement information to enable the client to provide a rich user experience.

The present disclosure provides a system and method for recommending dynamic, adaptive and non-sequentially assembled videos. The method includes reception of a set of preference data and a set of user authentication data. The method includes development of an interest profile of the user. The method includes fetching of the one or more tagged videos. The method includes fragmentation of each tagged video into the one or more tagged fragments and segregation of one or more mapped fragments into one or more logical sets of mapped fragments. The method includes mining of semantic context information from each mapped fragment and each logical set of mapped fragments. The method includes clustering of the one or more logical sets of mapped fragments and assembling of the one or more logical clusters of mapped fragments to obtain a set of assembled videos. The method includes recommendation of the set of assembled videos.

The present disclosure provides a method and system for real time, dynamic, adaptive and non-sequential assembling of one or more mapped fragments of one or more tagged videos. The method includes a step of receiving a set of preference data from pre-defined selection criteria and set of user authentication data. The method includes another step of fetching the one or more tagged videos from the digitally processed repository of videos. The method includes yet another step of fragmenting each tagged video of the one or more tagged videos into the one or more tagged fragments and clustering one or more logical sets of mapped fragments into one or more logical clusters of mapped fragments. The method includes yet another step of assembling at least one of the one or more logical clusters of mapped fragments in a pre-defined order of preference to obtain an assembled video.

Systems, methods, and devices are disclosed enabling smart search functionalities utilizing key scene changes appearing in video content. In various embodiments, the method includes the step or process of, while engaged in playback of the video content, receiving a user command at a playback device to shift a current playback position of the video content to a default search playback position (PP.sub.DS). In response to receipt of the user command, the playback device searches a time window encompassing the default search playback position (PP.sub.DS) for a key scene change in the video content. If locating a key scene change within the time window, the playback device shifts playback of the video content to a playback position corresponding to the key scene change (PP.sub.ST). Otherwise, the playback device shifts playback of the video content to the default search playback position (PP.sub.DS).