Abstract: Techniques described herein include evaluation and management of device hardware, software, and network resources during streaming, downloading, or playback of video resources on client devices from remote locations. Certain aspects relate to evaluating the current resources available at a client device, such as memory, processing capacity, device battery status, network availability and/or network data quotas, in view of a video resource request. Based on the evaluation of the client device's resources, and estimations of the effects that video streaming/downloading and playback may have on the client device's resources, the client device may control, customize, and/or alter the retrieval or playback of requested video resources.

Abstract: Embodiments of the present technology may include systems and processes associated with automatically generating supercuts associated with programming content.

Abstract: Embodiments of the present technology may include systems and processes associated with automatically generating supercuts associated with programming content.

Abstract: In a method of using structured communications in an observation platform with cloud computing, a signal from a first communication device is received by a second communication device associated with a first computer system. The second computer system forwards the signal from the first computer system to a second computer system, wherein the second computer system is physically remote from the first computer system and connected with the first computer system via a network. The second computer system derives context information for the signal, the deriving based on a plurality of factors derived from an analysis of the signal, wherein the plurality of factors comprises a speech to text analysis of the signal, and wherein the second computer system is cloud based. The second computer system determines at least one destination for the signal based on the plurality of factors for the context information.

Abstract: Embodiments of the present technology may include systems and processes associated with automatically generating supercuts associated with programming content.

Abstract: Embodiments of the present technology may include systems and processes associated with automatically generating supercuts associated with programming content.

Abstract: Techniques described herein include evaluation and management of device hardware, software, and network resources during streaming, downloading, or playback of video resources on client devices from remote locations. Certain aspects relate to evaluating the current resources available at a client device, such as memory, processing capacity, device battery status, network availability and/or network data quotas, in view of a video resource request. Based on the evaluation of the client device's resources, and estimations of the effects that video streaming/downloading and playback may have on the client device's resources, the client device may control, customize, and/or alter the retrieval or playback of requested video resources.

Abstract: Techniques described herein include evaluation and management of device hardware, software, and network resources during streaming, downloading, or playback of video resources on client devices from remote locations. Certain aspects relate to evaluating the current resources available at a client device, such as memory, processing capacity, device battery status, network availability and/or network data quotas, in view of a video resource request. Based on the evaluation of the client device's resources, and estimations of the effects that video streaming/downloading and playback may have on the client device's resources, the client device may control, customize, and/or alter the retrieval or playback of requested video resources.

Abstract: Techniques described herein include evaluation and management of device hardware, software, and network resources during streaming, downloading, or playback of video resources on client devices from remote locations. Certain aspects relate to evaluating the current resources available at a client device, such as memory, processing capacity, device battery status, network availability and/or network data quotas, in view of a video resource request. Based on the evaluation of the client device's resources, and estimations of the effects that video streaming/downloading and playback may have on the client device's resources, the client device may control, customize, and/or alter the retrieval or playback of requested video resources.

Abstract: A method of changing semantic information comprises changing a first bi-directional coupling between a surface region in a document and a first semantic object to a second bi-directional coupling between the surface region and a second semantic object. More particularly, the method may be comprised of identifying an occurrence of a surface region in a document, the surface region having a first link for coupling the surface region to a first semantic object, and the first semantic object having a first association for coupling the first semantic object with the surface region. The first link is replaced with a second link for coupling the surface region to a second semantic object. The first association is changed to a second association for coupling the second semantic object with the surface region. Another method for changing semantic information comprising selecting a semantic object stored in a data repository and changing the selected semantic object.

Abstract: A method and apparatus for the recording and maintenance of semantic elements in electronically-held information objects provide for grounding semantic objects in an ontology, such that inheritance and other relations between concepts are preserved in persistent storage. The disclosed method and apparatus provide semantic document authors with a means to anchor concept references to specific, persistent, semantic objects, thereby providing the system with access to all properties of the underlying data model of the semantic objects being referenced, while also specifying the type and scope of their relations, as well as behavioral aspects of the visual and editing environment.

Abstract: A method and apparatus for performing an informed semantic merge operation comprises selecting a source region in a document and a target region in the same or a different document. A bi-directionally coupled surface region is identified in the source region and a bi-directionally coupled surface region is identified in the target region. A first semantic object coupled to the surface region in the source region is identified and a second semantic object coupled to the surface region in the target region is identified. The subcomponents of the first semantic object are combined with the subcomponents of the second semantic object by merging.

Abstract: One example of a semantically informed text operation comprises selecting a source region of a document and determining if the source region has a surface region bi-directionally coupled to a semantic object. The coupled semantic object is identified as are the presentation(s) associated with the semantic object. A target region of the same or anther document is selected. Any of the presentations that cannot be expressed in the target region are eliminated to identify a set of remaining presentations. A set of semantic choices based on the remaining presentations is determined. One of the semantic choices is selected and executed in the target region.

Abstract: A technique for representing an information need and employing one or more filters to select documents that satisfy the represented information need, including a technique of creating filters that involves (a) dividing a set of documents into one or more subsets such that each subset can be used as the source of features for creating a filtering profile or used to set or validate the score threshold for the profile and (b) determining whether multiple profiles are required and how to combine them to create an effective filter. Multiple profiles can be incorporated into an individual filter and the individual filters combined to create an ensemble filter. Ensemble filters can then be further combined to create meta filters.

Abstract: A technique for representing an information need and employing one or more filters to select documents that satisfy the represented information need, including a technique of creating filters that involves (a) dividing a set of documents into one or more subsets such that each subset can be used as the source of features for creating a filtering profile or used to set or validate the score threshold for the profile and (b) determining whether multiple profiles are required and how to combine them to create an effective filter. Multiple profiles can be incorporated into an individual filter and the individual filters combined to create an ensemble filter. Ensemble filters can then be further combined to create meta filters.

Abstract: A technique for representing an information need and employing one or more filters to select documents that satisfy the represented information need, including a technique of creating filters that involves (a) dividing a set of documents into one or more subsets such that each subset can be used as the source of features for creating a filtering profile or used to set or validate the score threshold for the profile and (b) determining whether multiple profiles are required and how to combine them to create an effective filter. Multiple profiles can be incorporated into an individual filter and the individual filters combined to create an ensemble filter. Ensemble filters can then be further combined to create meta filters.

Abstract: A technique for representing an information need and employing one or more filters to select documents that satisfy the represented information need, including a technique of creating filters that involves (a) dividing a set of documents into one or more subsets such that each subset can be used as the source of features for creating a filtering profile or used to set or validate the score threshold for the profile and (b) determining whether multiple profiles are required and how to combine them to create an effective filter. Multiple profiles can be incorporated into an individual filter and the individual filters combined to create an ensemble filter. Ensemble filters can then be further combined to create meta filters.