摘要:
Embodiments disclose systems and methods for transmitting user-extracted video and content more efficiently by recognizing that user-extracted video provides the potential to treat parts of a single frame of a user-extracted video differently. An alpha mask of the image part of the user-extracted video is used when encoding the image part so that it retains a higher quality upon transmission than the remainder of the user-extracted video.
摘要:
Disclosed herein are methods and systems for classifying pixels as foreground using both short-range depth data and long-range depth data. One embodiment takes the form of a process that includes obtaining video data depicting at least a portion of a user. The process also includes obtaining short-range depth data associated with the video data. The process also includes obtaining long-range depth data associated with the video data. The video data, short-range depth data, and long-range depth data may be obtained via a single 3-D video camera. The process also includes classifying pixels of the video data as foreground based at least in part on both the short-range depth data and the long-range depth data. In some embodiments, classifying pixels of the video data as foreground comprises employing an alpha mask. The alpha mask may comprise binary foreground (hard) indicators. The alpha mask may comprise foreground-likelihood (soft) indicators.
摘要:
Embodiments disclose systems and methods for transmitting user-extracted video and content more efficiently by recognizing that user-extracted video provides the potential to treat parts of a single frame of a user-extracted video differently. An alpha mask of the image part of the user-extracted video is used when encoding the image part so that it retains a higher quality upon transmission than the remainder of the user-extracted video.
摘要:
Embodiments disclose systems and methods for transmitting user-extracted video and content more efficiently by recognizing that user-extracted video provides the potential to treat parts of a single frame of a user-extracted video differently. An alpha mask of the image part of the user-extracted video is used when encoding the image part so that it retains a higher quality upon transmission than the remainder of the user-extracted video.
摘要:
Disclosed herein are methods and systems for classifying pixels as foreground using both short-range depth data and long-range depth data. One embodiment takes the form of a process that includes obtaining video data depicting at least a portion of a user. The process also includes obtaining short-range depth data associated with the video data. The process also includes obtaining long-range depth data associated with the video data. The video data, short-range depth data, and long-range depth data may be obtained via a single 3-D video camera. The process also includes classifying pixels of the video data as foreground based at least in part on both the short-range depth data and the long-range depth data. In some embodiments, classifying pixels of the video data as foreground comprises employing an alpha mask. The alpha mask may comprise binary foreground (hard) indicators. The alpha mask may comprise foreground-likelihood (soft) indicators.
摘要:
Embodiments disclose systems and methods for transmitting user-extracted video and content more efficiently by recognizing that user-extracted video provides the potential to treat parts of a single frame of a user-extracted video differently. An alpha mask of the image part of the user-extracted video is used when encoding the image part so that it retains a higher quality upon transmission than the remainder of the user-extracted video.