A medical telepresence system comprising: an interface to receive a plurality of data feeds from a live medical procedure, at least one data feed comprising a video signal capturing the live medical procedure; a hierarchical encoder to encode the plurality of data feeds using a first tier-based hierarchical data coding scheme, wherein encoded data from the hierarchical encoder is decodable by a first set of computing devices for viewing, the first set of computing devices being communicatively coupled to the hierarchical encoder using a first network connection; a transcoder to convert from the first tier-based hierarchical data coding scheme to a second tier-based hierarchical data coding scheme, wherein encoded data from the transcoder is receivable by a second set of computing devices for viewing, the second set of computing devices being communicatively coupled to the transcoder using a second network connection, the second network connection being of a lower quality than the first network connection; and a recorder to store the output of the hierarchical encoder as a set of tier-based files for later retrieval, wherein each of the set of tier-based files represent different levels of quality.

The Cloud-based Video Streaming Service (CVSS) architecture is disclosed to transcode video streams in an on-demand manner. The architecture provides a platform for streaming service providers to utilize cloud resources in a cost-efficient manner and with respect to the Quality of Service (QoS) demands of video streams. In particular, the architecture includes a QoS-aware scheduling method to efficiently map video streams to cloud resources, and a cost-aware dynamic (i.e., elastic) resource provisioning policy that adapts the resource acquisition with respect to the video streaming QoS demands. Simulation results based on realistic cloud traces and with various workload conditions, demonstrate that the CVSS architecture can satisfy video streaming QoS demands and reduces the incurred cost of stream providers up to 70%.

The present disclosure provides a video synthesis method, apparatus, computer device and computer-readable storage medium, which the method includes: acquiring a first video; capturing second video data photographed in real time; performing first encoding on the second video data to obtain an encoded video; synthesizing the first video and the encoded video to obtain synthesized video data; and performing second encoding on the synthesized video data to obtain a target video. By means of the method, there is less loss in the obtained target video frames and a relatively high definition of the video frames.

Methods and apparatus for processing of video are described. The processing may include video encoding, decoding or transcoding. One example video processing method includes performing a conversion between a video including one or more pictures including one or more subpictures and a bitstream of the video, wherein the bitstream conforms to a format rule that specifies a syntax of network abstraction layer (NAL) units in the bitstream, and wherein the format rule specifies that a NAL unit of a video coding layer (VCL) NAL unit type includes a content associated with a particular type of picture or a particular type of subpicture.

An encoding device evaluates a plurality of processing and/or post-processing algorithms and/or methods to be applied to a video stream, and signals a selected method, algorithm, class or category of methods/algorithms either in an encoded bitstream or as side information related to the encoded bitstream. A decoding device or post-processor utilizes the signaled algorithm or selects an algorithm/method based on the signaled method or algorithm. The selection is based, for example, on availability of the algorithm/method at the decoder/post-processor and/or cost of implementation. The video stream may comprise, for example, downsampled multiplexed stereoscopic images and the selected algorithm may include any of upconversion and/or error correction techniques that contribute to a restoration of the downsampled images.

When a temporally compressed video stream is decoded and subsequently re-encoded, quality is typically lost. The quality loss may be mitigated using information about how the source video stream was encoded during the re-encoding process. According to some aspects of the disclosure, this mitigation of quality loss can be facilitated by decoders that output such information and encoders that receive such information. These decoders and encoders may be separate devices. The functionality of these decoders and encoders may also be combined in a single device, such as a transcoding device. An example of the information that may be used during re-encoding is whether each portion of the original stream was intra-coded or non-intra-coded.

When a temporally compressed video stream is decoded and subsequently re-encoded, quality is typically lost. The quality loss may be mitigated using information about how the source video stream was encoded during the re-encoding process. According to some aspects of the disclosure, this mitigation of quality loss can be facilitated by decoders that output such information and encoders that receive such information. These decoders and encoders may be separate devices. The functionality of these decoders and encoders may also be combined in a single device, such as a transcoding device. An example of the information that may be used during re-encoding is whether each portion of the original stream was intra-coded or non-intra-coded.

Data are encoded into one or more optically encoded images. The optically encoded images are then inserted as image data into a video sequence—i.e., in video frames. Data are transmitted in-band within the video, via any conceivable video distribution channel or format. The video may be trans-coded as required—because the data are optically encoded, any video processing that even crudely preserves the frame images will preserve the optically encoded data. This scheme of in-band data transfer in video is very robust. A video receiving apparatus receives the video, inspects the image data from video frames in memory, detects optically encoded images in the image data, and decodes the optically encoded images to recover the data. The frames carrying optically encoded images are typically discarded and not rendered to a display. The data from a plurality of optically encoded images may be concatenated, and further processed.

Data are encoded into one or more optically encoded images. The optically encoded images are then inserted as image data into a video sequence—i.e., in video frames. Data are transmitted in-band within the video, via any conceivable video distribution channel or format. The video may be trans-coded as required—because the data are optically encoded, any video processing that even crudely preserves the frame images will preserve the optically encoded data. This scheme of in-band data transfer in video is very robust. A video receiving apparatus receives the video, inspects the image data from video frames in memory, detects optically encoded images in the image data, and decodes the optically encoded images to recover the data. The frames carrying optically encoded images are typically discarded and not rendered to a display. The data from a plurality of optically encoded images may be concatenated, and further processed.

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.