Abstract: In some aspects, methods and systems described herein provide for preparing component videos for combining into a bitstream. An example system may receive a source video. The system may also receive data representing a compression format. The system may encode a reference frame as an intra-coded picture that is sub-divided into intra-coded units. The system may encode the sequence of source frames as a sequence of predictive-coded pictures conforming to the compression format. The sequence may be divided into groups of pictures that include a first predictive-coded picture followed by one or more second predictive-coded pictures. The first predictive-coded picture may be sub-divided into intra-coded units that represent respective portions of a source frame by describing the pixels of the portion so as to simulate intra-coded pictures. The system may concatenate the sequence of predictive-coded pictures after the intra-coded picture so as to produce a bitstream.

Abstract: In some aspects, methods and systems described herein provide for preparing component videos for combining into a bitstream. An example system may receive a source video. The system may also receive data representing a compression format. The system may encode a reference frame as an intra-coded picture that is sub-divided into intra-coded units. The system may encode the sequence of source frames as a sequence of predictive-coded pictures conforming to the compression format. The sequence may be divided into groups of pictures that include a first predictive-coded picture followed by one or more second predictive-coded pictures. The first predictive-coded picture may be sub-divided into intra-coded units that represent respective portions of a source frame by describing the pixels of the portion so as to simulate intra-coded pictures. The system may concatenate the sequence of predictive-coded pictures after the intra-coded picture so as to produce a bitstream.

Abstract: Implementations generally relate to providing video transitions. In some implementations, a method includes receiving a soundtrack. The method further includes determining one or more sound characteristics of the soundtrack. The method further includes determining at least one target portion of the soundtrack based on the one or more sound characteristics. The method further includes receiving one or more video clips. The method further includes adjusting a length of one or more of the video clips based on one or more adjusting policies. The method further includes combining the one or more video clips with the soundtrack.

Abstract: In some aspects, methods and systems described herein provide for preparing component videos for combining into a bitstream. An example system may receive a source video. The system may also receive data representing a compression format. The system may encode a reference frame as an intra-coded picture that is sub-divided into intra-coded units. The system may encode the sequence of source frames as a sequence of predictive-coded pictures conforming to the compression format. The sequence may be divided into groups of pictures that include a first predictive-coded picture followed by one or more second predictive-coded pictures. The first predictive-coded picture may be sub-divided into intra-coded units that represent respective portions of a source frame by describing the pixels of the portion so as to simulate intra-coded pictures. The system may concatenate the sequence of predictive-coded pictures after the intra-coded picture so as to produce a bitstream.

Abstract: Implementations generally relate to providing video transitions. In some implementations, a method includes receiving a soundtrack. The method further includes determining one or more sound characteristics of the soundtrack. The method further includes determining at least one target portion of the soundtrack based on the one or more sound characteristics. The method further includes receiving one or more video clips. The method further includes adjusting a length of one or more of the video clips based on one or more adjusting policies. The method further includes combining the one or more video clips with the soundtrack.

Abstract: Implementations generally relate to providing video transitions. In some implementations, a method includes receiving a soundtrack. The method further includes determining one or more sound characteristics of the soundtrack. The method further includes determining at least one target portion of the soundtrack based on the one or more sound characteristics. The method further includes receiving one or more video clips. The method further includes adjusting a length of one or more of the video clips based on one or more adjusting policies. The method further includes combining the one or more video clips with the soundtrack.

Abstract: A method, computer program product, and system is described. An aspect of an image is identified. One or more other images are identified based upon, at least in part, the one or more other images including one or more other aspects similar to the identified aspect of the image. One or more image filters associated with the one or more other images, including a first image filter, are identified. The first image filter is applied to the image.

Abstract: The present application describes systems, articles of manufacture, and methods for continuous speech recognition for mobile computing devices. One embodiment includes determining whether a mobile computing device is receiving operating power from an external power source or a battery power source, and activating a trigger word detection subroutine in response to determining that the mobile computing device is receiving power from the external power source. In some embodiments, the trigger word detection subroutine operates continually while the mobile computing device is receiving power from the external power source. The trigger word detection subroutine includes determining whether a plurality of spoken words received via a microphone includes one or more trigger words, and in response to determining that the plurality of spoken words includes at least one trigger word, launching an application corresponding to the at least one trigger word included in the plurality of spoken words.

Abstract: In some aspects, methods and systems described herein provide for preparing component videos for combining into a bitstream. An example system may receive a source video. The system may also receive data representing a compression format. The system may encode a reference frame as an intra-coded picture that is sub-divided into intra-coded units. The system may encode the sequence of source frames as a sequence of predictive-coded pictures conforming to the compression format. The sequence may be divided into groups of pictures that include a first predictive-coded picture followed by one or more second predictive-coded pictures. The first predictive-coded picture may be sub-divided into intra-coded units that represent respective portions of a source frame by describing the pixels of the portion so as to simulate intra-coded pictures. The system may concatenate the sequence of predictive-coded pictures after the intra-coded picture so as to produce a bitstream.

Abstract: A method, computer program product, and system is described. An aspect of an image is identified. One or more other images are identified based upon, at least in part, the one or more other images including one or more other aspects similar to the identified aspect of the image. One or more image filters associated with the one or more other images, including a first image filter, are identified. The first image filter is applied to the image.

Abstract: In one example, a method includes determining, by a computing device and based at least in part on an initial character string, one or more candidate morpheme sequences, wherein each of the candidate morpheme sequences includes the initial character string and one or more candidate morphemes. The method further includes outputting, for display, the one or more candidate morpheme sequences. The method further includes receiving an indication of a user input detected at a presence-sensitive input device. The method further includes selecting, based on the indication of the user input, at least one of the candidate morphemes from one of the candidate morpheme sequences to define a selected morpheme sequence that includes the initial character string and the selected candidate morpheme from the one of the candidate morpheme sequences. The method further includes outputting, for display, the selected morpheme sequence.

Abstract: A method, computer program product, and system is described. An aspect of an image is identified. One or more other images are identified based upon, at least in part, the one or more other images including one or more other aspects similar to the identified aspect of the image. One or more image filters associated with the one or more other images, including a first image filter, are identified. The first image filter is applied to the image.

Abstract: Disclosed are systems, methods, and devices for providing a layered user interface for one or more applications. A user-interface layer for a voice user interface is generated. The user-interface layer can be based on a markup-language-structured user-interface description for an application configured to execute on a computing device. The user-interface layer can include a command display of one or more voice-accessible commands for the application. The computing device can display at least the user-interface layer of the voice user interface. The computing device can receive an input utterance, obtain input text based upon speech recognition performed upon the input utterance, and determine that the input text corresponds to a voice-accessible command displayed as part of the command display. The computing device can execute the application to perform the command.

Abstract: Implementations generally relate to providing video transitions. In some implementations, a method includes receiving a soundtrack. The method further includes determining one or more sound characteristics of the soundtrack. The method further includes determining at least one target portion of the soundtrack based on the one or more sound characteristics. The method further includes receiving one or more video clips. The method further includes adjusting a length of one or more of the video clips based on one or more adjusting policies. The method further includes combining the one or more video clips with the soundtrack.

Abstract: Cloud-based media can be locally cached at a vehicle in which a user will travel. The media may be accessed by an authorized user during an authorized period that can be based upon vehicle status, such as vehicle speed or altitude. When the authorized period expires, the media stored at the vehicle can be deleted.

Abstract: A computing device may receive an incoming communication and, in response, generate a notification that indicates that the incoming communication can be accessed using a particular application on the communication device. The computing device may further provide an audio signal indicative of the notification and automatically activate a listening mode. The computing device may receive a voice input during the listening mode, and an input text may be obtained based on speech recognition performed upon the voice input. A command may be detected in the input text. In response to the command, the computing device may generate an output text that is based on at least the notification and provide a voice output that is generated from the output text via speech synthesis. The voice output identifies at least the particular application.

Abstract: In a first speech detection mode, a computing device listens for speech that corresponds to one of a plurality of activation phrases or “hotwords” that cause the computing device to recognize further speech input in a second speech detection mode. Each activation phrase is associated with a respective application. During the first speech detection mode, the computing device compares detected speech to the activation phrases to identify any potential matches. In response to identifying a matching activation phrase with a sufficiently high confidence, the computing device invokes the application associated with the matching activation phrase and enters the second speech detection mode. In the second speech detection mode, the computing device listens for speech input related to the invoked application.

Abstract: In one example, a method includes determining, by a computing device and based at least in part on an initial character string, one or more candidate morpheme sequences, wherein each of the candidate morpheme sequences includes the initial character string and one or more candidate morphemes. The method further includes outputting, for display, the one or more candidate morpheme sequences. The method further includes receiving an indication of a user input detected at a presence-sensitive input device. The method further includes selecting, based on the indication of the user input, at least one of the candidate morphemes from one of the candidate morpheme sequences to define a selected morpheme sequence that includes the initial character string and the selected candidate morpheme from the one of the candidate morpheme sequences. The method further includes outputting, for display, the selected morpheme sequence.

Abstract: The present application describes systems, articles of manufacture, and methods for continuous speech recognition for mobile computing devices. One embodiment includes determining whether a mobile computing device is receiving operating power from an external power source or a battery power source, and activating a trigger word detection subroutine in response to determining that the mobile computing device is receiving power from the external power source. In some embodiments, the trigger word detection subroutine operates continually while the mobile computing device is receiving power from the external power source. The trigger word detection subroutine includes determining whether a plurality of spoken words received via a microphone includes one or more trigger words, and in response to determining that the plurality of spoken words includes at least one trigger word, launching an application corresponding to the at least one trigger word included in the plurality of spoken words.

Abstract: A method for displaying an aggregate count of endorsements is provided, including the following method operations: processing a request for an online resource from a mobile device, the online resource being associated with an object, the online resource including an endorsement mechanism; sending the online resource to the mobile device; processing an input from a user triggering the endorsement mechanism, to define an endorsement of the object by the user; updating an aggregate count of endorsements of the object to include the endorsement of the object by the user; sending the updated aggregate count of endorsements to the social display device for display on the social display device.