Scene aware video content encoding techniques can determine if video content is a given content type and is one of one or more given titles that include one or more given scenes. The one or more given scenes of the video content of the given type and given one of the titles can be encoded using corresponding scenes specific encoding parameter values, and the non-given scenes can be encoded using one or more general encoding parameter values. The one or more given titles can be selected based on a rate of streaming of various video content titles of the given type.

Scene aware video content encoding techniques can determine if video content is a given content type and is one of one or more given titles that include one or more given scenes. The one or more given scenes of the video content of the given type and given one of the titles can be encoded using corresponding scenes specific encoding parameter values, and the non-given scenes can be encoded using one or more general encoding parameter values. The one or more given titles can be selected based on a rate of streaming of various video content titles of the given type.

A method for encoding including executing game logic built on a game engine of a video game at a cloud gaming server to generate video frames. The method including executing scene change logic to predict a scene change in the video frames based on game state collected during execution of the game logic. The method including identifying a range of video frames that is predicted to include the scene change. The method including generating a scene change hint using the scene change logic, wherein the scene change hint identifies the range of video frames, wherein the range of video frames includes a first video frame. The method including delivering the first video frame to an encoder. The method including sending the scene change hint from the scene change logic to the encoder. The method including encoding the first video frame as an I-frame based on the scene change hint.

A method for encoding including executing game logic built on a game engine of a video game at a cloud gaming server to generate video frames. The method including executing scene change logic to predict a scene change in the video frames based on game state collected during execution of the game logic. The method including identifying a range of video frames that is predicted to include the scene change. The method including generating a scene change hint using the scene change logic, wherein the scene change hint identifies the range of video frames, wherein the range of video frames includes a first video frame. The method including delivering the first video frame to an encoder. The method including sending the scene change hint from the scene change logic to the encoder. The method including encoding the first video frame as an I-frame based on the scene change hint.

A method of processing a video sequence is proposed, which comprises, for a video encoding tool of a set of video encoding tools configured for encoding the video sequence comprised in a video encoder, determining an efficiency value based on an encoding performance value and an encoding computational complexity value of the video encoding tool for encoding the video sequence, and determining, based on the efficiency value of the video encoding tool, whether to configure the video encoder to use the video encoding tool for the encoding of the video sequence.

Approaches to selection of motion vector (“MV”) precision during video encoding are presented. These approaches can facilitate compression that is effective in terms of rate-distortion performance and/or computational efficiency. For example, a video encoder determines an MV precision for a unit of video from among multiple MV precisions, which include one or more fractional-sample MV precisions and integer-sample MV precision. The video encoder can identify a set of MV values having a fractional-sample MV precision, then select the MV precision for the unit based at least in part on prevalence of MV values (within the set) having a fractional part of zero. Or, the video encoder can perform rate-distortion analysis, where the rate-distortion analysis is biased towards the integer-sample MV precision. Or, the video encoder can collect information about the video and select the MV precision for the unit based at least in part on the collected information.

Approaches to selection of motion vector (“MV”) precision during video encoding are presented. These approaches can facilitate compression that is effective in terms of rate-distortion performance and/or computational efficiency. For example, a video encoder determines an MV precision for a unit of video from among multiple MV precisions, which include one or more fractional-sample MV precisions and integer-sample MV precision. The video encoder can identify a set of MV values having a fractional-sample MV precision, then select the MV precision for the unit based at least in part on prevalence of MV values (within the set) having a fractional part of zero. Or, the video encoder can perform rate-distortion analysis, where the rate-distortion analysis is biased towards the integer-sample MV precision. Or, the video encoder can collect information about the video and select the MV precision for the unit based at least in part on the collected information.

Methods and systems are provided that allow a user to remotely access another computer and view its desktop without regard to whether that desktop has a relatively static image typical of a computer desktop, or whether it is playing a video, such as from a DVD. Relatively static screens may be displayed along with full motion video in such systems. These systems may also provide for both short mouse lag time when full motion video is displayed. In one implementation, hardware and firmware captures and encodes the video from the remote computer, and software on the client computer decodes the encoded video and displays it to the user.

Methods and systems are provided that allow a user to remotely access another computer and view its desktop without regard to whether that desktop has a relatively static image typical of a computer desktop, or whether it is playing a video, such as from a DVD. Relatively static screens may be displayed along with full motion video in such systems. These systems may also provide for both short mouse lag time when full motion video is displayed. In one implementation, hardware and firmware captures and encodes the video from the remote computer, and software on the client computer decodes the encoded video and displays it to the user.

Methods and devices are provided for encoding a video stream which comprise encoding a plurality of frames of video acquired from different points of view, generating statistical values for the frames of video determined from values of pixels of the frames, generating, for each of the plurality of frames, a perceptual hash value based on statistical values of the frame and encoding a current frame comprising video acquired from a corresponding one of the different points of view using a previously encoded reference frame based on a similarity of perceptual hashes of the current frame and the previously encoded reference frame.