The present invention relates to a method for synchronizing video live broadcast, which can improve user experience in a video live broadcast service. In the present invention, a video stream synchronization request is sent to a network side device; a video stream playback position synchronization parameter sent by the network side device is received, where the video stream playback position synchronization parameter includes a playback position parameter at a video stream sending moment and a system frame number SFN at the video stream sending moment; an SFN at a video stream receiving moment is acquired; and the playback position parameter at the video stream sending moment is adjusted according to the SFN at the video stream sending moment and the SFN at the video stream receiving moment, so as to coincide with a current playback position parameter of the network side device.

A method of delivering unicast adaptive bitrate (UABR) streaming includes receiving, at a content delivery network (CDN) node, a request for a video asset to be streamed at a selected bitrate; loading a manifest for the requested video asset; parsing the manifest for the requested video asset and preloading a plurality of segments across all represented bitrates into a preload cache buffer; fetching requested bitrate segments into a segment combiner; and streaming a combined stream to the requesting entity.

Methods and systems are disclosed for providing video content in response to requests in a content delivery system with more speed and efficiency. In some aspects, network monitoring devices may gather content specific and network performance metrics, from user devices and content delivery components, to provide input to a computing device for deciding whether to store or delete different versions of the same or different items of content. The decision may be based on a policy which may include a weighted score based on a combination of usage and network efficiency scores. In other aspects, methods and systems are provided to initially provide to a user device a stored version of a content item, and then switch, as needed, to a different version of the content item using on-demand transcoding.

A system that incorporates teachings of the subject disclosure may include, for example, dividing a media content item into a plurality of media content segments, at each media content segment of the plurality of media content segments, applying motion estimation between at least two video frames of the media content segment to determine a content weight for the media content segment, determining a bit rate for the media content segment according to the determined content weight for the media content segment, and encoding the media content segment at the determined bit rates to generate a data stream for the media content segment, whereby a plurality of data streams for the plurality of media content segments of the media content are generated, and transmitting the plurality of data streams for the plurality of media content segments of the media content to the one or more media devices. Other embodiments are disclosed.

The present disclosure seeks to perform real-time video streaming on a mobile device toward maintaining user QoE even under bandwidth constraints while being acceptable to the lightweight computing capacity of the mobile device. To this end, the embodiments apply deep neural network-based SR to a small number of pre-selected video frames and utilize the video frames to which SR is applied to enhance the resolution of the remaining frames, wherein the pre-selected frames are chosen for SR within a preset quality margin. Additionally, the present disclosure provides an apparatus and a method for SR acceleration for real-time video streaming under the lightweight computing capacity and video-specific constraints of a mobile device, which allow a server to deliver multiple options on a deep neural network and a cache profile including SR application information and enable the mobile device to select an option suitable for its computing capacity.

Techniques described herein are directed toward creating one or more “dynamic profiles” for media (video) streaming in which an encoding bit rate (and optionally other profile settings) is optimized for particular content. More specifically, techniques involve performing one or more “probe” encodings of the particular content to determine an encoding bit rate (and optionally other profile settings) that results in an encoding having a quality value sufficiently near (within a threshold) a target quality value.

Techniques for prioritization of data streams include transmitting a plurality of data streams to a first device over a network where each data stream is configured to cause the first device to perform a specific function, dynamically detecting a bandwidth limitation limiting an amount of available bandwidth for transmitting the plurality of data streams, dynamically determining bandwidth reduction criteria by identifying a first subset of the plurality of data streams to stop transmitting based on the specific function that each respective data stream causes the first device to perform, temporarily stopping transmitting of the first subset of data streams configured to cause the first device to perform a first set of functions, and continuing to transmit a second subset of data streams not included in the first subset of the data streams to the first device to cause the first device to continue to perform a second set of functions.

Aspects of the subject disclosure may include, for example, a method in which a processing system obtains encoded video content, and transmits the encoded video content over a network for presentation at a communication device by a video player executing on the communication device. The encoded video content is decoded in a decoding process by a decoder of an operating system of the communication device to generate decoded video content; the decoded video content is analyzed by a complexity analyzer of the operating system to generate a video complexity report. The method also includes receiving the video complexity report over the network from the communication device, and adjusting a data rate for the encoded video content, based at least in part on the video complexity report, to generate adjusted video content for transmission to the communication device. Other embodiments are disclosed.

Provided is a method for pre-loading content data. The method includes: acquiring a download speed; determining target content data in response to the download speed being less than a first speed threshold and a trigger event occurring, wherein the trigger event is configured to trigger pre-loading of the target content data, and the first speed threshold is determined based on corresponding play data in different speed ranges, the play data including at least one of a play amount or a lag rate; and loading the target content data.

A method for assessing and improving network performance using video session data. Control plane signaling data comprising geographic location data from network monitoring equipment connected to a communications network is collected. Video session data comprising data of a plurality of video sessions from video monitoring equipment connected to the communications network is collected. The plurality of video sessions are associated with a plurality of mobile devices streaming videos on the respective mobile device across the communications network. The video session data and control plane signaling data within a cell of the communications network is correlated. The correlated data is provided to a communications network provider. The communications network is reorganized according to the correlated data.