Abstract:
The invention is directed to an efficient way for encoding and decoding video. Embodiments include identifying different coding units that share a similar characteristic. The characteristic can be, for example: quantization values, modes, block sizes, color space, motion vectors, depth, facial and non-facial regions, and filter values. An encoder may then group the units together as a coherence group. An encoder may similarly create a table or other data structure of the coding units. An encoder may then extract the commonly repeating characteristic or attribute from the coding units. The encoder may transmit the coherence groups along with the data structure, and other coding units which were not part of a coherence group. The decoder may receive the data, and utilize the shared characteristic by storing locally in cache, for faster repeated decoding, and decode the coherence group together.
Abstract:
Coding techniques for input video may include assigning picture identifiers to input frames in either long-form or short-form formats. If a network error has occurred that results in loss of previously-coded video data, a new input frame may be assigned a picture identifier that is coded in a long-form coding format. If no network error has occurred, the input frame may be assigned a picture identifier that is coded in a short-form coding format. Long-form coding may mitigate against loss of synchronization between an encoder and a decoder by picture identifiers.
Abstract:
In video conferencing over a radio network, the radio equipment is a major power consumer especially in cellular networks such as LTE. In order to reduce the radio power consumption in video conferencing, it is important to introduce an enough radio inactive time. Several types of data buffering and bundling can be employed within a reasonable range of latency that doesn't significantly disrupt the real-time nature of video conferencing. In addition, the data transmission can be synchronized to the data reception in a controlled manner, which can result in an even longer radio inactive time and thus take advantage of radio power saving modes such as LTE C-DRX.
Abstract:
Embodiments of the invention provide techniques for upsampling a video sequence for coding. According to the method, an estimate of camera motion may be obtained from motion sensor data. Video data may be analyzed to detect motion within frames output from a camera that is not induced by the camera motion. When non-camera motion falls within a predetermined operational limit, video upsampling processes may be engaged. In another embodiment, video upsampling may be performed by twice estimating image content for a hypothetical new a frame using two different sources as inputs. A determination may be made whether the two estimates of the frame match each other sufficiently well. If so, the two estimates may be merged to yield a final estimated frame and the new frame may be integrated into a stream of video data.
Abstract:
Systems, methods, and a computer readable medium for performing auto exposure (AE) techniques that are beneficial in variable lighting conditions—and particularly applicable to handheld and/or mobile videoconferencing applications—are disclosed herein. Handheld and/or mobile videoconferencing applications—unlike their fixed camera counterparts—are often exposed to a wide variety of rapidly changing lighting and scene conditions, and thus face a difficult trade-off between adjusting exposure parameter values too frequently or not frequently enough. In personal electronic devices executing such handheld and/or mobile videoconferencing applications, it may be desirable to: use a small, centered, and center-weighted exposure metering region; set a relatively low brightness target value; and adjust the camera's exposure parameter values according to a distance-dependent convergence speed function. The use of such techniques, in conjunction with a relatively large stability region, may also improve the quality of a video encoder's temporal predictions—and thus video quality—in videoconferencing applications.
Abstract:
Systems and methods disclosed for video compression, utilizing neural networks for predictive video coding. Processes employed combine multiple banks of neural networks with codec system components to carry out the coding and decoding of video data.
Abstract:
A system obtains a data set representing immersive video content for display at a display time, including first data representing the content according to a first level of detail, and second data representing the content according to a second higher level of detail. During one or more first times prior to the display time, the system causes at least a portion of the first data to be stored in a buffer. During one or more second times prior to the display time, the system generates a prediction of a viewport for displaying the content to a user at the display time, identifies a portion of the second data corresponding to the prediction of the viewport, and causes the identified portion of the second data to be stored in the video buffer. At the display time, the system causes the content to be displayed to the user using the video buffer.
Abstract:
Computing devices may implement instant video communication connections for video communications. Connection information for mobile computing devices may be maintained. A request to initiate an instant video communication may be received, and if authorized, the connection information for the particular recipient mobile computing device may be accessed. Video communication data may then be sent to the recipient mobile computing device according to the connection information so that the video communication data may be displayed at the recipient device as it is received. New connection information for different mobile computing devices may be added, or updates to existing connection information may also be performed. Connection information for some mobile computing devices may be removed.
Abstract:
Techniques are presented for modifying images of an object in video, for example to correct for lens distortion, or to beautify a face. These techniques include extracting and validating features of an object from a source video frame, tracking those features over time, estimating a pose of the object, modifying a 3D model of the object based on the features, and rendering a modified video frame based on the modified 3D model and modified intrinsic and extrinsic matrices. These techniques may be applied in real-time to an object in a sequence of video frames.
Abstract:
Techniques are disclosed for coding video data predictively based on predictions made from spherical-domain projections of input pictures to be coded and reference pictures that are prediction candidates. Spherical projection of an input picture and the candidate reference pictures may be generated. Thereafter, a search may be conducted for a match between the spherical-domain representation of a pixel block to be coded and a spherical-domain representation of the reference picture. On a match, an offset may be determined between the spherical-domain representation of the pixel block to a matching portion of the of the reference picture in the spherical-domain representation. The spherical-domain offset may be transformed to a motion vector in a source-domain representation of the input picture, and the pixel block may be coded predictively with reference to a source-domain representation of the matching portion of the reference picture.