Abstract: Provided is a light source device, including: a laser generation unit configured to output laser light; a light modification element disposed in a light guide unit or between the light guide unit and a homogenizing unit and configured to cause an angular distribution of the laser light uniform and continuous; the light guide unit, configured to receive the laser light output by the laser generation unit and guide the laser light to the homogenizing unit; and the homogenizing unit, configured to receive the laser light from the light guide unit, and homogenize and output the laser light.

Abstract: An online system receives video data items from users and encodes the video data items using various codecs. To account for different computational resources used for encoding using different codecs, the online system ranks combinations of video data items by ratios of encoding video data items with different codecs to computational costs of encoding different video data items with different codecs. The benefit of encoding a video data item with a codec is based on a compression efficiency of the codec and a predicted aggregate amount of the video data item displayed to various users of the online system. Encoding video data items with codecs based on the determined ratios allows the online system to optimize a duration of video data having at least a threshold video quality to users.

Abstract: An online system receives video data items from users and encodes the video data items using various codecs. To account for different computational resources used for encoding using different codecs, the online system ranks combinations of video data items by ratios of encoding video data items with different codecs to computational costs of encoding different video data items with different codecs. The benefit of encoding a video data item with a codec is based on a compression efficiency of the codec and a predicted aggregate amount of the video data item displayed to various users of the online system. Encoding video data items with codecs based on the determined ratios allows the online system to optimize a duration of video data having at least a threshold video quality to users.

Abstract: An online system receives video data items from users and encodes the video data items using various codecs. To account for different computational resources used for encoding using different codecs, the online system ranks combinations of video data items by ratios of encoding video data items with different codecs to computational costs of encoding different video data items with different codecs. The benefit of encoding a video data item with a codec is based on a compression efficiency of the codec and a predicted aggregate amount of the video data item displayed to various users of the online system. Encoding video data items with codecs based on the determined ratios allows the online system to optimize a duration of video data having at least a threshold video quality to users.

Abstract: The disclosed computer-implemented method may include a process for monitoring and improving end-to-end video quality based on scaled and/or interpolated perceptual quality scores across various video views. The method may also include a process for improving search experience for user expectations. Additionally, the method may include a process for providing hardware virtualization and simulation for server hosting. Furthermore, the method may include a process for filtering network traffic in a hosting environment. The method may additionally include a process for testing applications in a hosting environment. The method may further include a process for supporting multi-touch applications. The method may also include a process for optimized graphics rendering. Various other related methods and systems are also disclosed.

Abstract: The disclosed computer-implemented method may include receiving original media content, transcoding the original media content into a plurality of encoded media files, determining an adaptive bit rate for providing a one of the plurality of encoded media files to a computing device, delivering the encoded media file to the computing device at the adaptive bit rate for viewing on a display device of the computing device, and measuring a quality of the displayed encoded media file based on an overall mean opinion score associated with the delivered encoded media file. The overall mean opinion score may be based on a measured playback quality associated with the encoded media file and a measured upload quality associated with the original media content. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include receiving, from a client device, a video and data about at least one specialized construct applied to the video. The method may also include detecting, based on the data about the specialized construct, a region of interest to apply the specialized construct to the video. Additionally, the method may include reapplying the specialized construct to the video at the region of interest. Furthermore, the method may include encoding the video by prioritizing bit rate allocation for the region of interest containing the specialized construct. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include encoding media content into a plurality of encoded media files, each encoded media file having an encoded resolution and at least one associated full reference metric, identifying one of the plurality of encoded media files to provide to a computing device based on at least a playback resolution of a display device included in the computing device, and weighting a measurement of a quality of the encoded media file based on the at least one associated full reference metric and on at least one characteristic associated with the display device. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method may include (1) receiving, from a video streaming service, a screen capture of a video playback session including one or more static visual elements and a video playing in the video playback session, (2) detecting a window within the screen capture containing the video playing in the video playback session, (3) selecting the window containing the video by excluding the static visual elements in the video playback session, (4) determining a blurriness score associated with a potential degradation in quality of the video playing in the selected window, and (5) providing the blurriness score for analysis. Various other methods, systems, and computer-readable media are also disclosed.