Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for modifying one or more parameters of a data streaming bitrate selection algorithm based on machine learning. An example embodiment operates by training and operating a first machine learning model to predict a sustainable network bandwidth. A second machine learning model is trained to receive the sustainable network bandwidth and predict a likelihood that this network bandwidth will not empty a data buffer of streaming data. A bitrate is selected based on the likelihood being below a threshold percentage, such as 50%.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for modifying one or more parameters of a data streaming bitrate selection algorithm based on machine learning. An example embodiment operates by training and operating a first machine learning model to predict a sustainable network bandwidth. A second machine learning model is trained to receive the sustainable network bandwidth and predict a likelihood that this network bandwidth will not empty a data buffer of streaming data. A bitrate is selected based on the likelihood being below a threshold percentage, such as 50%.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for modifying one or more parameters of a data streaming bitrate selection algorithm based on machine learning. An example embodiment operates by training and operating a first machine learning model to predict a sustainable network bandwidth. A second machine learning model is trained to receive the sustainable network bandwidth and predict a likelihood that this network bandwidth will not empty a data buffer of streaming data. A bitrate is selected based on the likelihood being below a threshold percentage, such as 50%.

Abstract: Disclosed herein are various embodiments for server-side scene change content stitching. An example embodiment operates by providing a stream of first content for display on a display device. Second content to be stitched into the stream is received. Metadata indicates a point in time in the stream into which the second content is to be stitched. A scene change is identified in the first content closest to the point in time. A first frame proximate to the scene change is identified. The stream is displayed on the display device, including the second content stitched into the first content.

Abstract: Disclosed herein are various embodiments for server-side scene change content stitching. An example embodiment operates by providing a stream of first content for display on a display device. Second content to be stitched into the stream is received. Metadata indicates a point in time in the stream into which the second content is to be stitched. A scene change is identified in the first content closest to the point in time. A first frame proximate to the scene change is identified. A distance within the plurality of frames between the identified first frame and the identified scene change is identified. The stream is displayed on the display device, including the second content stitched into the first content.

Abstract: Disclosed herein are various embodiments for server-side scene change content stitching. An example embodiment operates by providing a stream of first content for display on a display device. Second content to be stitched into the stream is received. Metadata indicates a point in time in the stream into which the second content is to be stitched. A scene change is identified in the first content closest to the point in time. A first frame proximate to the scene change is identified. A distance within the plurality of frames between the identified first frame and the identified scene change is identified. The stream is displayed on the display device, including the second content stitched into the first content.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for stitching second content into a stream of first content, where the audio and/or video format of the first content may differ from the second content. An example media device embodiment operates by decoding first content using a first decoder compatible with the first content. The decoded first content is displayed on a display device. The media device then receives second content for stitching into the display of the first content. The media device determines whether an audio format and a video format of the second content match an audio format and a video format of the first content. If the audio format and the video format match, then the media device causes a program time stamp (PTS) of the second content to be consecutive with a PTS of the first content during the stitching, such that a reference clock is also consecutive.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for providing a representation to a connected device. An embodiment operates by recognizing a new device connected to a display device, collecting device fingerprint information from the new device, and requesting a device class representation information determined based on the device fingerprint information. Another embodiment operates by receiving device fingerprint information from a display device via a network connection, wherein the device fingerprint information is collected from a device connected to a display device, and providing device class representation information to the display device via the network connection, when the device class representation information corresponding to the device fingerprint information is available.

Abstract: Disclosed herein system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for using technology in innovative ways to automatically and intelligently predict performance of content delivery networks (CDNs) in a crowdsourced manner in order to deliver the highest resolution content possible with little or no buffering. In some embodiments, a media device downloads and displays primary content on a display device. The media device determines that secondary content should be stitched into the display of the primary content. Accordingly, the media device requests that a crowdsource server determine a bit-rate variant of the secondary content to download. The crowdsource server determines the bit-rate variant in a crowdsourced manner such that subsequent download of the identified bit-rate variant by the media device results in a zero buffer experience.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for providing a representation to a connected device. An embodiment operates by recognizing a new device connected to a display device, collecting device fingerprint information from the new device, and requesting a device class representation information determined based on the device fingerprint information. Another embodiment operates by receiving device fingerprint information from a display device via a network connection, wherein the device fingerprint information is collected from a device connected to a display device, and providing device class representation information to the display device via the network connection, when the device class representation information corresponding to the device fingerprint information is available.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for providing a representation to a connected device. An embodiment operates by recognizing a new device connected to a display device, collecting device fingerprint information from the new device, and requesting a device class representation information determined based on the device fingerprint information. Another embodiment operates by receiving device fingerprint information from a display device via a network connection, wherein the device fingerprint information is collected from a device connected to a display device, and providing device class representation information to the display device via the network connection, when the device class representation information corresponding to the device fingerprint information is available.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for stitching second content into a stream of first content, where the audio and/or video format of the first content may differ from the second content. An example media device embodiment operates by decoding first content using a first decoder compatible with the first content. The decoded first content is displayed on a display device. The media device then receives second content for stitching into the display of the first content. The media device determines whether an audio format and a video format of the second content match an audio format and a video format of the first content. If the audio format and the video format match, then the media device causes a program time stamp (PTS) of the second content to be consecutive with a PTS of the first content during the stitching, such that a reference clock is also consecutive.

Abstract: Disclosed herein system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for using technology in innovative ways to automatically and intelligently predict performance of content delivery networks (CDNs) in a crowdsourced manner in order to deliver the highest resolution content possible with little or no buffering. In some embodiments, a media device downloads and displays primary content on a display device. The media device determines that secondary content should be stitched into the display of the primary content. Accordingly, the media device requests that a crowdsource server determine a bit-rate variant of the secondary content to download. The crowdsource server determines the bit-rate variant in a crowdsourced manner such that subsequent download of the identified bit-rate variant by the media device results in a zero buffer experience.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for providing client side stitching of secondary content to a user. In a non-limiting embodiment, an apparatus, such as a media device, may provide client side stitching of secondary content to a user. The media device may receive content comprising primary content from a content provider and analyze metadata of the content to identify secondary content to be presented to the user. The media device may also retrieve the secondary content from the content provider and pre-buffer the secondary content. The media device may also provide the secondary content to the user.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for providing a representation to a connected device. An embodiment operates by recognizing a new device connected to a display device, collecting device fingerprint information from the new device, and requesting a device class representation information determined based on the device fingerprint information. Another embodiment operates by receiving device fingerprint information from a display device via a network connection, wherein the device fingerprint information is collected from a device connected to a display device, and providing device class representation information to the display device via the network connection, when the device class representation information corresponding to the device fingerprint information is available.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for providing a representation to a connected device. An embodiment operates by recognizing a new device connected to a display device, collecting device fingerprint information from the new device, and requesting a device class representation information determined based on the device fingerprint information. Another embodiment operates by receiving device fingerprint information from a display device via a network connection, wherein the device fingerprint information is collected from a device connected to a display device, and providing device class representation information to the display device via the network connection, when the device class representation information corresponding to the device fingerprint information is available.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for providing a representation to a connected device. An embodiment operates by recognizing a new device connected to a display device, collecting device fingerprint information from the new device, and requesting a device class representation information determined based on the device fingerprint information. Another embodiment operates by receiving device fingerprint information from a display device via a network connection, wherein the device fingerprint information is collected from a device connected to a display device, and providing device class representation information to the display device via the network connection, when the device class representation information corresponding to the device fingerprint information is available.

Abstract: Disclosed herein are system, apparatus, article of manufacture, method, and/or computer program product embodiments for providing a representation to a connected device. An embodiment operates by recognizing a new device connected to a display device, collecting device fingerprint information from the new device, and requesting a device class representation information determined based on the device fingerprint information. Another embodiment operates by receiving device fingerprint information from a display device via a network connection, wherein the device fingerprint information is collected from a device connected to a display device, and providing device class representation information to the display device via the network connection, when the device class representation information corresponding to the device fingerprint information is available.

Abstract: A system and method to render 3D images from a 2D source are described. An embodiment of a method to render 3D images from a 2D source comprises the steps of providing a graphics rendering device to estimate depth of a 2D image; providing video or graphics textures and depth-maps to describe an object in a 3D scene; creating, in one embodiment, a single view angle and in another preferred embodiment at least two view angles of the 3D scene to represent an intraocular distance using the graphics rendering device; and presenting both of the at least two view angles on a display using the graphics rendering device and especially the commonly available 3D imaging technology of the graphics rendering device.