Abstract: Methods and systems are disclosed relating to proximity detection of devices and targeted information services, such as information campaigns. Disclosed methods provide targeted campaigns to a user, such as targeted campaigns to presentation devices based on proximity of user devices near the information devices. Other methods provide targeted campaigns across various applications, while other methods provide for scheduling campaigns to premises device identifiers based on an event schedule, and other methods provide a hierarchal system for monitoring different sets of premises device identifiers when a user device can monitor for a limited number of premises device identifiers at a time.

Abstract: Aspects of the disclosure relate to a content (e.g., media) transfer or fling platform system and method. In a media fling platform system, media items may be cached at a rendering device prior to any selection of media items to fling. The determination of which media to cache may be based on a variety of factors including a user fling history, a currently viewed media item, and a navigation point in the media files. A fling request may take priority over caching, and the fling request may interrupt any caching processes.

Abstract: Aspects of the disclosure relate to a content (e.g., media) transfer or fling platform system and method. In a media fling platform system, media items may be cached at a rendering device prior to any selection of media items to fling. The determination of which media to cache may be based on a variety of factors including a user fling history, a currently viewed media item, and a navigation point in the media files. A fling request may take priority over caching, and the fling request may interrupt any caching processes.

Abstract: A location of a computing device may be determined by determining the range of a communication. Several different wireless communication protocols and/or wireless networks (e.g., Bluetooth, Wi-Fi, Cellular, and/or GPS) may be used to determine the user's location. When the user's location is determined, one or more actions (e.g., granting access to content) may be performed based on the user's location.

Abstract: Methods and systems are disclosed relating to proximity detection of devices and targeted information services, such as information campaigns. Disclosed methods provide targeted campaigns to a user, such as targeted campaigns to presentation devices based on proximity of user devices near the information devices. Other methods provide targeted campaigns across various applications, while other methods provide for scheduling campaigns to premises device identifiers based on an event schedule, and other methods provide a hierarchal system for monitoring different sets of premises device identifiers when a user device can monitor for a limited number of premises device identifiers at a time.

Abstract: Methods and systems are disclosed relating to proximity detection of devices and targeted information services, such as information campaigns. Disclosed methods provide targeted campaigns to a user, such as targeted campaigns to presentation devices based on proximity of user devices near the information devices. Other methods provide targeted campaigns across various applications, while other methods provide for scheduling campaigns to premises device identifiers based on an event schedule, and other methods provide a hierarchal system for monitoring different sets of premises device identifiers when a user device can monitor for a limited number of premises device identifiers at a time.

Abstract: Systems and methods for performing actions based on a user's location are described. A user profile correlating automated actions with locations may be generated and/or stored. The user's location may be determined by determining the location of a device, such as the user's mobile device. Several different wireless communication protocols and/or wireless networks (e.g., Bluetooth, Wi-Fi, Cellular, and/or GPS) may be used in a hierarchical manner to determine the user's location. When the user's location is determined, one or more actions may be performed based on the user's location and/or profile. For example, an instruction may be sent to a display device or set-top box located in the same room as the user to turn on the display device or set-top box or to display a content recommendation for the user. As another example, an instruction may be sent to the user's home to deactivate a home security system when the user is within a predetermined distance from the home.

Abstract: Methods and systems are disclosed relating to proximity detection of devices and targeted information services, such as information campaigns. Disclosed methods provide targeted campaigns to a user, such as targeted campaigns to presentation devices based on proximity of user devices near the information devices. Other methods provide targeted campaigns across various applications, while other methods provide for scheduling campaigns to premises device identifiers based on an event schedule, and other methods provide a hierarchal system for monitoring different sets of premises device identifiers when a user device can monitor for a limited number of premises device identifiers at a time.

Abstract: Aspects of the disclosure relate to a content (e.g., media) transfer or fling platform system and method. In a media fling platform system, media items may be cached at a rendering device prior to any selection of media items to fling. The determination of which media to cache may be based on a variety of factors including a user fling history, a currently viewed media item, and a navigation point in the media files. A fling request may take priority over caching, and the fling request may interrupt any caching processes.

Abstract: The disclosure relates to recognizing data such as items or entities in content. In some aspects, content may be received and feature information, such as face recognition data and voice recognition data may be generated. Scene segmentation may also be performed on the content, grouping the various shots of the video content into one or more shot collections, such as scenes. For example, a decision lattice representative of possible scene segmentations may be determined and the most probable path through the decision lattice may be selected as the scene segmentation. Upon generating the feature information and performing the scene segmentation, one or more items or entities that are present in the scene may be identified.

Abstract: Methods and systems are disclosed relating to proximity detection of devices and targeted information services, such as information campaigns. Disclosed methods provide targeted campaigns to a user, such as targeted campaigns to presentation devices based on proximity of user devices near the information devices. Other methods provide targeted campaigns across various applications, while other methods provide for scheduling campaigns to premises device identifiers based on an event schedule, and other methods provide a hierarchal system for monitoring different sets of premises device identifiers when a user device can monitor for a limited number of premises device identifiers at a time.

Abstract: Aspects of the disclosure relate to a content (e.g., media) transfer or fling platform system and method. In a media fling platform system, media items may be cached at a rendering device prior to any selection of media items to fling. The determination of which media to cache may be based on a variety of factors including a user fling history, a currently viewed media item, and a navigation point in the media files. A fling request may take priority over caching, and the fling request may interrupt any caching processes.

Abstract: Aspects of the disclosure relate to a content (e.g., media) transfer or fling platform or system and method in which content may be sent, transferred, or flung from an electronic device to an output device via a rendering device. The content may be transformed (e.g., processed) to meet a content quality based on network conditions and output device capabilities. The media may be stored locally in the electronic device or in a network attached storage or remote from the electronic device. Content stored remotely from the electronic device may also be flung under control of the electronic device.

Abstract: Methods and systems are disclosed relating to proximity detection of devices and targeted information services, such as information campaigns. Disclosed methods provide targeted campaigns to a user, such as targeted campaigns to presentation devices based on proximity of user devices near the information devices. Other methods provide targeted campaigns across various applications, while other methods provide for scheduling campaigns to premises device identifiers based on an event schedule, and other methods provide a hierarchal system for monitoring different sets of premises device identifiers when a user device can monitor for a limited number of premises device identifiers at a time.

Abstract: Methods and systems are disclosed relating to proximity detection of devices and targeted information services, such as information campaigns. Disclosed methods provide targeted campaigns to a user, such as targeted campaigns to presentation devices based on proximity of user devices near the information devices. Other methods provide targeted campaigns across various applications, while other methods provide for scheduling campaigns to premises device identifiers based on an event schedule, and other methods provide a hierarchal system for monitoring different sets of premises device identifiers when a user device can monitor for a limited number of premises device identifiers at a time.

Abstract: The disclosure relates to recognizing data such as items or entities in content. In some aspects, content may be received and feature information, such as face recognition data and voice recognition data may be generated. Scene segmentation may also be performed on the content, grouping the various shots of the video content into one or more shot collections, such as scenes. For example, a decision lattice representative of possible scene segmentations may be determined and the most probable path through the decision lattice may be selected as the scene segmentation. Upon generating the feature information and performing the scene segmentation, one or more items or entities that are present in the scene may be identified.

Abstract: The disclosure relates to recognizing data such as items or entities in content. In some aspects, content may be received and feature information, such as face recognition data and voice recognition data may be generated. Scene segmentation may also be performed on the content, grouping the various shots of the video content into one or more shot collections, such as scenes. For example, a decision lattice representative of possible scene segmentations may be determined and the most probable path through the decision lattice may be selected as the scene segmentation. Upon generating the feature information and performing the scene segmentation, one or more items or entities that are present in the scene may be identified.

Abstract: Systems and methods for performing actions based on a user's location are described. A user profile correlating automated actions with locations may be generated and/or stored. The user's location may be determined by determining the location of a device, such as the user's mobile device. Several different wireless communication protocols and/or wireless networks (e.g., Bluetooth, Wi-Fi, Cellular, and/or GPS) may be used in a hierarchical manner to determine the user's location. When the user's location is determined, one or more actions may be performed based on the user's location and/or profile. For example, an instruction may be sent to a display device or set-top box located in the same room as the user to turn on the display device or set-top box or to display a content recommendation for the user. As another example, an instruction may be sent to the user's home to deactivate a home security system when the user is within a predetermined distance from the home.

Abstract: The disclosure relates to recognizing data such as items or entities in content. In some aspects, content may be received and feature information, such as face recognition data and voice recognition data may be generated. Scene segmentation may also be performed on the content, grouping the various shots of the video content into one or more shot collections, such as scenes. For example, a decision lattice representative of possible scene segmentations may be determined and the most probable path through the decision lattice may be selected as the scene segmentation. Upon generating the feature information and performing the scene segmentation, one or more items or entities that are present in the scene may be identified.

Abstract: Aspects of the disclosure relate to a content (e.g., media) transfer or fling platform or system and method in which content may be sent, transferred, or flung from an electronic device to an output device via a rendering device. The content may be transformed (e.g., processed) to meet a content quality based on network conditions and output device capabilities. The media may be stored locally in the electronic device or in a network attached storage or remote from the electronic device. Content stored remotely from the electronic device may also be flung under control of the electronic device.