Abstract: Systems and methods for generating customized media content are provided (for example, trailers or recaps for a movie or television show). For example, the system may generate a trailer to a television show that is tailored to a specific user, such as a trailer that includes action-specific scenes for a user who often views content in an action-based genre. The system may receive as an input a text or voice-based query from the user (or the system may be automated and may receive user historical data as an input). Based on the input, one or more computing models may generate a text-based narrative to be used with the customized content. Once the narrative is generated, the one or more models may then identify specific video frames to include in the customized content. The video frames may then be stitched together and the customized content may be generated using the stitched video frames and the narrative.

Abstract: Techniques for enabling dynamic secondary content insertion in multiple view (multiview) video streaming using bitstream stitching techniques are described.

Abstract: This application relates to video encoding and decoding, and specifically to tools and techniques for using and providing supplemental enhancement information in bitstreams. Among other things, the detailed description presents innovations for bitstreams having supplemental enhancement information (SEI). In particular embodiments, the SEI message includes picture source data (e.g., data indicating whether the associated picture is a progressive scan picture or an interlaced scan picture and/or data indicating whether the associated picture is a duplicate picture). The SEI message can also express a confidence level of the encoder's relative confidence in the accuracy of this picture source data. A decoder can use the confidence level indication to determine whether the decoder should separately identify the picture as progressive or interlaced and/or a duplicate picture or honor the picture source scanning information in the SEI as it is.

Abstract: This application relates to video encoding and decoding, and specifically to tools and techniques for using and providing supplemental enhancement information in bitstreams. Among other things, the detailed description presents innovations for bitstreams having supplemental enhancement information (SEI). In particular embodiments, the SEI message includes picture source data (e.g., data indicating whether the associated picture is a progressive scan picture or an interlaced scan picture and/or data indicating whether the associated picture is a duplicate picture). The SEI message can also express a confidence level of the encoder's relative confidence in the accuracy of this picture source data. A decoder can use the confidence level indication to determine whether the decoder should separately identify the picture as progressive or interlaced and/or a duplicate picture or honor the picture source scanning information in the SEI as it is.

Abstract: Methods and apparatus are described for delivering streams of media content in ways that maintain compatibility among different streaming protocols for inserting secondary content into the streams of media content. This is accomplished by encoding media content the same for each streaming protocol but generating different output groups based on each streaming protocol.

Abstract: Techniques are described for training and use of machine learning models to determine objective video quality scores. Video quality scores predict the quality of video content perceived by viewers. Quality scores have various uses, including the selection of encoding profiles and determination of encoding ladders. A core model and residual model may be used to determine quality scores.

Abstract: Techniques for transition files for use with content files and related metadata are described. In an example, a system determines a cue point of a video content file at which targeted content is to be presented. The system determines that a set of transition frames is to be presented at a start of a presentation of the targeted content or at an end of the presentation of the targeted content. The set of transition frames are available from a transition file that is separate from the video content file. The system generates metadata associated with the video content file. The metadata indicates that the set of transition frames is to be presented and an association of the set of transition frames with the cue point.

Abstract: Innovations for signaling state of a decoded picture buffer (“DPB”) and reference picture lists (“RPLs”). In example implementations, rather than rely on internal state of a decoder to manage and update DPB and RPLs, state information about the DPB and RPLs is explicitly signaled. This permits a decoder to determine which pictures are expected to be available for reference from the signaled state information. For example, an encoder determines state information that identifies which pictures are available for use as reference pictures (optionally considering feedback information from a decoder about which pictures are available). The encoder sets syntax elements that represent the state information. In doing so, the encoder sets identifying information for a long-term reference picture (“LTRP”), where the identifying information is a value of picture order count least significant bits for the LTRP. The encoder then outputs the syntax elements as part of a bitstream.

Abstract: Systems and methods for audio and video content stitching are provided. an example method may include receiving a first video fragment and a second video fragment included within primary video content, the first video fragment and the second video fragment including one or more video frames, wherein the first video fragment is a first time duration, wherein the second video fragment is a second time duration, and wherein the first time duration and the second time duration are different. The example method may also include receiving a third video fragment associated with secondary video content. The example method may also include determining a first cue point within the primary video content, wherein the first cue point is located at a first time between a starting time of the first video fragment and a second time corresponding to a sum of the first time and a duration of the first time duration.

Abstract: Linear playout provides media content according to a schedule. Live events and video on demand (VOD) assets may be provided as part of linear playout. The linear playout process may be optimized to improve quality of experience for users and decrease the costs in providing such content.

Abstract: Adaptive bitrate techniques are used to select bitrates of segments to download when streaming video content. Different bitrate paths may be evaluated to optimize an objection function. Filtering bitrate paths that are unlikely to be optimal increases the computational speed, facilitating deployment.

Abstract: Techniques are described for training and use of machine learning models to determine objective video quality scores. Video quality scores predict the quality of video content perceived by viewers. Quality scores have various uses, including the selection of encoding profiles and determination of encoding ladders. A core model and residual model may be used to determine quality scores.

Abstract: Techniques for combining dynamic metadata for multiple view (multiview) video displaying are described.

Abstract: Innovations in intra block copy (“BC”) prediction as well as innovations in encoder-side search patterns and approaches to partitioning are described herein. For example, some of the innovations relate to use of asymmetric partitions for intra BC prediction. Other innovations relate to search patterns or approaches that an encoder uses during block vector estimation (for intra BC prediction) or motion estimation. Still other innovations relate to uses of BV search ranges that have a horizontal or vertical bias during BV estimation.

Abstract: Innovations in intra block copy (“BC”) prediction as well as innovations in encoder-side search patterns and approaches to partitioning are described herein. For example, some of the innovations relate to use of asymmetric partitions for intra BC prediction. Other innovations relate to search patterns or approaches that an encoder uses during block vector estimation (for intra BC prediction) or motion estimation. Still other innovations relate to uses of BV search ranges that have a horizontal or vertical bias during BV estimation.

Abstract: Innovations in intra block copy (“BC”) prediction as well as innovations in encoder-side search patterns and approaches to partitioning are described herein. For example, some of the innovations relate to use of asymmetric partitions for intra BC prediction. Other innovations relate to search patterns or approaches that an encoder uses during block vector estimation (for intra BC prediction) or motion estimation. Still other innovations relate to uses of BV search ranges that have a horizontal or vertical bias during BV estimation.

Abstract: Innovations for signaling state of a decoded picture buffer (“DPB”) and reference picture lists (“RPLs”). In example implementations, rather than rely on internal state of a decoder to manage and update DPB and RPLs, state information about the DPB and RPLs is explicitly signaled. This permits a decoder to determine which pictures are expected to be available for reference from the signaled state information. For example, an encoder determines state information that identifies which pictures are available for use as reference pictures (optionally considering feedback information from a decoder about which pictures are available). The encoder sets syntax elements that represent the state information. In doing so, the encoder sets identifying information for a long-term reference picture (“LTRP”), where the identifying information is a value of picture order count least significant bits for the LTRB. The encoder then outputs the syntax elements as part of a bitstream.

Abstract: Techniques for a time synchronized switch across live feeds and channels in a media player application are described. According to some embodiments, a computer-implemented method includes displaying, on a client device, a first live stream of an event, that is still in progress, at a time-shifted time of the event relative to a known time of the event, receiving, from a user interface of the client device, a request to switch to a second live stream of the event, determining, by the client device, a time differential between the time-shifted time of the first live stream and the known time of the event, and displaying, on the client device, the second live stream beginning at a time that is time shifted by the time differential.

Abstract: A media processing tool adds custom data to an elementary media bitstream or media container. The custom data indicates nominal range of samples of media content, but the meaning of the custom data is not defined in the codec format or media container format. For example, the custom data indicates the nominal range is full range or limited range. For playback, a media processing tool parses the custom data and determines an indication of media content type. A rendering engine performs color conversion operations whose logic changes based at least in part on the media content type. In this way, a codec format or media container format can in effect be extended to support full nominal range media content as well as limited nominal range media content, and hence preserve full or correct color fidelity, while maintaining backward compatibility and conformance with the codec format or media container format.

Abstract: Innovations in encoder-side search ranges having horizontal bias or vertical bias are described herein. For example, a video encoder determines a block vector (“BV”) for a current block of a picture, performs intra prediction for the current block using the BV, and encodes the BV. The BV indicates a displacement to a region within the picture. When determining the BV, the encoder checks a constraint that the region is within a BV search range having a horizontal bias or vertical bias. The encoder can select the BV search range from among multiple available BV search ranges, e.g., depending at least in part on BV values of one or more previous blocks, which can be tracked in a histogram data structure.