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.

A coding amount estimation device includes: a feature vector generation unit that generates a feature vector on the basis of a feature map generated by an estimation target image and at least one filter set in advance; and a coding amount evaluation unit that evaluates a coding amount of the estimation target image on the basis of the feature vector.

Disclosed herein are a QTBT split structure allowing blocks of various shapes capable of more efficiently reflecting various local characteristics of video and a method of efficiently signaling the split structure.

There is included a method and apparatus comprising computer code configured to cause a processor or processors to perform receiving video data in an AOMedia Video 1 (AV1) format comprising data of at least two chroma prediction-residual signal blocks, a transformation between at least one signal block, having a size less than or equal to a combination of the chroma prediction-residual signal blocks, and the chroma prediction-residual signal blocks, and decoding the video data based on an output of the transformation comprising the at least one signal block having the size less than or equal to the combination of the chroma prediction-residual blocks.

Overlapped block motion compensation (OBMC) may be performed for a current video block based on motion information associated with the current video block and motion information associated with one or more neighboring blocks of the current video block. Under certain conditions, some or ail of these neighboring blocks may be omitted from the OBMC operation of the current block. For instance, a neighboring block may be skipped during the OBMC operation if the current video block and the neighboring block are both uni-directionally or bi-directionally predicted, if the motion vectors associated with the current block and the neighboring block refer to a same reference picture, and if a sum of absolute differences between those motion vectors is smaller than a threshold value. Further, OBMC may be conducted in conjunction with regular motion compensation and may use simplified filters than traditionally allowed.

Described herein are systems and methods that provide for asymmetric image splitter image stream applications. In one embodiment, a system supporting image multi-streaming comprises an asymmetric image splitter engine that splits super-frame image streams into two or more image streams and a fractional clock divider circuit. The fractional clock divider may comprise a digital feedback control loop and a one-bit sigma delta modulator. The fractional clock divider circuit may provide compatible display clock frequencies for each of the two or more image streams. When a multi-image stream comprises the two image streams, the asymmetric image splitter engine adjusts a vertical asymmetry of a first image stream with a shortest height to same height as a second image stream by adding vertical padding to the first image stream. The super-frame image streams may comprise image streams from video, LIDAR, radar, or other sensors.

Described herein are systems and methods that provide for asymmetric image splitter image stream applications. In one embodiment, a system supporting image multi-streaming comprises an asymmetric image splitter engine that splits super-frame image streams into two or more image streams and a fractional clock divider circuit. The fractional clock divider may comprise a digital feedback control loop and a one-bit sigma delta modulator. The fractional clock divider circuit may provide compatible display clock frequencies for each of the two or more image streams. When a multi-image stream comprises the two image streams, the asymmetric image splitter engine adjusts a vertical asymmetry of a first image stream with a shortest height to same height as a second image stream by adding vertical padding to the first image stream. The super-frame image streams may comprise image streams from video, LIDAR, radar, or other sensors.

Provided is a video decoding method including: generating a merge candidate list including neighboring blocks referred to predict a motion vector of a current block in a skip mode or a merge mode; when a merge motion vector difference is used according to merge difference mode information indicating whether the merge motion vector difference and a motion vector determined from the merge candidate list are used, determining a base motion vector from a candidate determined among the merge candidate list based on merge candidate information; determining the motion vector of the current block by using the base motion vector and a merge motion vector difference of the current block, the merge motion vector difference being determined by using a distance index and direction index of the merge motion vector difference of the current block; and reconstructing the current block by using the motion vector of the current block.

According to embodiments described herein, sub-pictures and/or virtual boundaries can be used for coding an image. For example, sub-pictures in the current picture can be used for predicting, reconstructing, and/or filtering the current picture. Virtual boundaries can be used for filtering reconstructed samples of the current picture. Through image coding based on the subpictures and/or virtual boundaries according to embodiments described herein, the subjective/objective quality of an image can be improved, and the consumption of hardware resources necessary for the coding can be reduced.