Abstract: One embodiment provides a method comprising receiving a piece of content and salient moments data for the piece of content. The method further comprises, based on the salient moments data, determining a first path for a viewport for the piece of content. The method further comprises displaying the viewport on a display device. Movement of the viewport is based on the first path during playback of the piece of content. The method further comprises generating an augmentation for a salient moment occurring in the piece of content, and presenting the augmentation in the viewport during a portion of the playback. The augmentation comprises an interactive hint for guiding the viewport to the salient moment.

Abstract: A computing system includes: a control unit configured to operate a knowledge discovery component to extract knowledge from data, operate a knowledge engineering component to perform a knowledge extension or a knowledge evolution on the data or the knowledge; and a user interface, coupled to the communication unit, configured to operate an interface component to interact with the knowledge discovery component and the knowledge engineering component.

Abstract: One embodiment provides a method comprising receiving an input, and classifying the input utilizing a learned linear combination of multi-dimensional filters. Each multi-dimensional filter identifies a multi-dimensional pattern of a homogenous feature. The method further comprises generating an output indicative of a classification of the input.

Abstract: One embodiment provides a method comprising receiving a piece of content and salient moments data for the piece of content. The method further comprises, based on the salient moments data, determining a first path for a viewport for the piece of content. The method further comprises displaying the viewport on a display device. Movement of the viewport is based on the first path during playback of the piece of content. The method further comprises generating an augmentation for a salient moment occurring in the piece of content, and presenting the augmentation in the viewport during a portion of the playback. The augmentation comprises an interactive hint for guiding the viewport to the salient moment.

Abstract: A method and device for automatic digital customer service agent processing to automatically redirect to a correct channel for assistance. A method includes obtaining communication information based on customer communication iterations. Customer emotion information and customer situation context information is detected based on customer information obtained from one or more devices. Redirection option information is retrieved for a condition corresponding to the customer situation context information from an assistant-redirection knowledge base. The customer situation context information, the communication information, the customer emotion information and the redirection option information are used to determine and to provide a redirection suggestion with a justification, or an answer response.

Abstract: One embodiment provides a method comprising receiving an input, and classifying the input utilizing a learned linear combination of multi-dimensional filters. Each multi-dimensional filter identifies a multi-dimensional pattern of a homogenous feature. The method further comprises generating an output indicative of a classification of the input.

Abstract: A method and device for automatic digital customer service agent processing to automatically redirect to a correct channel for assistance. A method includes obtaining communication information based on customer communication iterations. Customer emotion information and customer situation context information is detected based on customer information obtained from one or more devices. Redirection option information is retrieved for a condition corresponding to the customer situation context information from an assistant-redirection knowledge base. The customer situation context information, the communication information, the customer emotion information and the redirection option information are used to determine and to provide a redirection suggestion with a justification, or an answer response.

Abstract: A computing system includes: a control unit configured to operate a knowledge discovery component to extract knowledge from data, operate a knowledge engineering component to perform a knowledge extension or a knowledge evolution on the data or the knowledge; and a user interface, coupled to the communication unit, configured to operate an interface component to interact with the knowledge discovery component and the knowledge engineering component.

Abstract: A computing system includes: a first communication unit configured to receive a feature within a data object; and a control unit, coupled to the first communication unit, configured to: calculate a feature weight of the feature for each classes, generate a model vector for each of the classes based on the feature weight, calculate a spread feature score based on the model vector, a spread parameter, or a combination thereof for changing a spread distance amongst a plurality of the feature weight.

Abstract: A computing system includes: a gather module configured to gather a distribution of a class bias score for a feature and across multiple domains; a transformation module, coupled to the gather module, configured to generate a transformation for a characteristic of a domain independence based on the class bias score; and a consolidation module, coupled to the transformation module, configured to compute a domain-independent class-bias score based on the transformation.