A client device is configured to communicate with an access point over a wireless network, exchanging data with the access point over a selected communication channel. The client device stores an identifier of the selected communication channel. After the wireless connection to the access point has ended, the client device initiates a process to reconnect to the access point over the selected communication channel using the stored identifier.

A client device is configured to communicate with an access point over a wireless network, exchanging data with the access point over a selected communication channel. The client device stores an identifier of the selected communication channel. After the wireless connection to the access point has ended, the client device initiates a process to reconnect to the access point over the selected communication channel using the stored identifier.

An apparatus including an interface and a processor. The interface may be configured to receive pixel data generated by a capture device. The processor may be configured to generate video frames in response to the pixel data, perform computer vision operations on the video frames to detect objects, perform a classification of the objects detected based on characteristics of the objects, determine whether the classification of the objects corresponds to a user-defined event and generate encoded video frames from the video frames. The encoded video frames may be communicated to a cloud storage service. The encoded video frames may comprise a first sample of the video frames selected at a first rate when the user-defined event is not detected and a second sample of the video frames selected at a second rate while the user-defined event is detected. The second rate may be greater than the first rate.

An apparatus including an interface and a processor. The interface may be configured to receive pixel data generated by a capture device. The processor may be configured to generate video frames in response to the pixel data, perform computer vision operations on the video frames to detect objects, perform a classification of the objects detected based on characteristics of the objects, determine whether the classification of the objects corresponds to a user-defined event and generate encoded video frames from the video frames. The encoded video frames may be communicated to a cloud storage service. The encoded video frames may comprise a first sample of the video frames selected at a first rate when the user-defined event is not detected and a second sample of the video frames selected at a second rate while the user-defined event is detected. The second rate may be greater than the first rate.

Methods of encoding and decoding for video data are described in which multi-level significance maps are used in the encoding and decoding processes. The significant-coefficient flags that form the significance map are grouped into contiguous groups, and a significant-coefficient-group flag signifies for each group whether that group contains no non-zero significant-coefficient flags. A multi-level scan order may be used in which significant-coefficient flags are scanned group-by-group. The group scan order specifies the order in which the groups are processed, and the scan order specifies the order in which individual significant-coefficient flags within the group are processed. The bitstream may interleave the significant-coefficient-group flags and their corresponding significant-coefficient flags, if any.

Methods of encoding and decoding for video data are described in which multi-level significance maps are used in the encoding and decoding processes. The significant-coefficient flags that form the significance map are grouped into contiguous groups, and a significant-coefficient-group flag signifies for each group whether that group contains no non-zero significant-coefficient flags. A multi-level scan order may be used in which significant-coefficient flags are scanned group-by-group. The group scan order specifies the order in which the groups are processed, and the scan order specifies the order in which individual significant-coefficient flags within the group are processed. The bitstream may interleave the significant-coefficient-group flags and their corresponding significant-coefficient flags, if any.

A multimedia redirection method comprising receiving, by a server, a hardware decoding capability sent by a client, where the hardware decoding capability is a hardware decoding capability that is in a video hardware acceleration specification and that is converted from a hardware decoding capability of a non-Windows operating system by the client; restoring, by the server, video data to a video code stream of a standard encoding format after receiving the hardware decoding capability; and sending, by the server, the video code stream to the client for decoding and display.

Image encoding and decoding methods and devices thereof are provided. The encoding method includes: performing downsampling on a first image to obtain a second image; encoding the second image to obtain a second image bit stream, and sending the second image bit stream to a decoding end; processing the second image to obtain a third image having a resolution the same as that of the first image; calculating a difference between the third image and the first image to obtain a first difference image; regulating pixel values of the first difference image to fall within a pre-set range, to obtain a second difference image; and encoding the second difference image to obtain a second difference image bit stream, and sending the second difference image bit stream to the decoding end to enable the decoding end to reconstruct the first image.

Image encoding and decoding methods and devices thereof are provided. The encoding method includes: performing downsampling on a first image to obtain a second image; encoding the second image to obtain a second image bit stream, and sending the second image bit stream to a decoding end; processing the second image to obtain a third image having a resolution the same as that of the first image; calculating a difference between the third image and the first image to obtain a first difference image; regulating pixel values of the first difference image to fall within a pre-set range, to obtain a second difference image; and encoding the second difference image to obtain a second difference image bit stream, and sending the second difference image bit stream to the decoding end to enable the decoding end to reconstruct the first image.

Systems and methods of adaptive streaming are discussed. Transcoded copies of a source stream may be aligned with one another such that the independently specified portions of each transcoded stream occur at the same locations within the content. These transcoded copies may be produced by one or more transcoders, whose outputs are synchronized by a delay adjuster. A fragmenter may use the synchronized and aligned streams to efficiently produce fragments suitable for use in adaptive streaming.