Abstract: Apparatuses, methods, and storage media for adaptive provision of content are described. In one instance, the apparatus may comprise a processor and an adaptive content provision module to be operated by the processor. The adaptive content provision module may include a content provision module to generate and provide for display a first view of content captured by first selected one or more of cameras, to a plurality of user devices; an analysis module to receive and analyze user response information provided by the plurality of user devices in response to the displayed first view of content; and a control module to control the content provision module to generate a second view of content captured by second selected one or more of the plurality of cameras, based at least in part on a result of the analysis of the user response information. Other embodiments may be described and claimed.

Abstract: Various embodiments are generally directed to creating and using an index based on eye movements of the human eye to store and retrieve images in an image database. An apparatus comprises a processor circuit and a storage communicatively coupled to the processor circuit and storing instructions operative on the processor circuit to receive a first eye movement data associated with a first image provided by the apparatus from an image database stored in the storage; determine a first identity of a first object at a first focus region in the first image indicated by the first eye movement data; search the image database for an image depicting the first object; and provide a second image depicting the first object from the image database. Other embodiments are described and claimed herein.

Abstract: Various embodiments are generally directed to creating and using an index based on eye movements of the human eye to store and retrieve images in an image database. An apparatus comprises a processor circuit and a storage communicatively coupled to the processor circuit and storing instructions operative on the processor circuit to receive a first eye movement data associated with a first image provided by the apparatus from an image database stored in the storage; determine a first identity of a first object at a first focus region in the first image indicated by the first eye movement data; search the image database for an image depicting the first object; and provide a second image depicting the first object from the image database. Other embodiments are described and claimed herein.

Abstract: Various embodiments are generally directed to creating and using an index based on eye movements of the human eye to store and retrieve images in an image database. An apparatus comprises a processor circuit and a storage communicatively coupled to the processor circuit and storing instructions operative on the processor circuit to receive a first eye movement data associated with a first image provided by the apparatus from an image database stored in the storage; determine a first identity of a first object at a first focus region in the first image indicated by the first eye movement data; search the image database for an image depicting the first object; and provide a second image depicting the first object from the image database. Other embodiments are described and claimed herein.

Abstract: Embodiments of techniques, apparatuses and systems associated with emotion information processing are disclosed. In some embodiments, a computing system may receive an image of a person and identify an emotional state of the person, based at least in part on the image. The computing system may cause storage of the emotional state of the person in combination with other data to enable subsequent response to an emotion-related query provided to the computing system. The emotion-related query may include an emotion-related criteria and a non-emotion-related criteria and the response may be based at least in part on the emotional state in combination with at least some of the other data. Other embodiments may be described and/or claimed.

Abstract: Apparatuses, methods, and storage media for adaptive provision of content are described. In one instance, the apparatus may comprise a processor and an adaptive content provision module to be operated by the processor. The adaptive content provision module may include a content provision module to generate and provide for display a first view of content captured by first selected one or more of cameras, to a plurality of user devices; an analysis module to receive and analyze user response information provided by the plurality of user devices in response to the displayed first view of content; and a control module to control the content provision module to generate a second view of content captured by second selected one or more of the plurality of cameras, based at least in part on a result of the analysis of the user response information. Other embodiments may be described and claimed.

Abstract: Systems and methods are disclosed for determining an affective state of a user. A user behavior characteristic is detected in response to content provided to the user. Content metadata indicates a context of the content provided to the user and a probability of the user experiencing at least one expected emotion in response to an interaction with the content. Based on the context and the at least one expected emotion indicated in the content metadata, one or more rules are applied to map the detected user behavior characteristic to an affective state of the user.

Abstract: Generally, this disclosure provides methods and systems for video indexing systems with viewer reaction estimation based on visual cue detection. The method may include detecting visual cues generated by a user, the visual cues generated in response to the user viewing the video; mapping the visual cues to an emotion space associated with the user; estimating emotion events of the user based on the mapping; and indexing the video with metadata, the metadata comprising the estimated emotion events and timing data associated with the estimated emotion events. The method may further include summarization, partitioning and searching of videos based on the video index.

Abstract: A device, method, and system for inferring user intent to perform an action on a computing device includes monitoring the eye movement patterns of a user and determining the action to be performed based on the eye movement patterns. Signals relating to the eye movement of the user while observing a display screen of the computing device are processed to produce at least one eye movement feature. One or more classifiers are generated based on a training set of data of the eye movement feature over a time interval in which the user observes the display screen with an intent to activate the action. Thereafter, an eye-movement-pattern of the user may be analyzed, and features may be extracted, as the user is observing the display screen. The intended action is automatically activated if the user intent is inferred using the one or more of the classifiers.

Abstract: Various embodiments are generally directed to creating and using an index based on eye movements of the human eye to store and retrieve images in an image database. An apparatus comprises a processor circuit and a storage communicatively coupled to the processor circuit and storing instructions operative on the processor circuit to receive a first eye movement data associated with a first image provided by the apparatus from an image database stored in the storage; determine a first identity of a first object at a first focus region in the first image indicated by the first eye movement data; search the image database for an image depicting the first object; and provide a second image depicting the first object from the image database. Other embodiments are described and claimed herein.

Abstract: Embodiments of techniques, apparatuses and systems associated with emotion information processing are disclosed. In some embodiments, a computing system may receive an image of a person and identify an emotional state of the person, based at least in part on the image. The computing system may cause storage of the emotional state of the person in combination with other data to enable subsequent response to an emotion-related query provided to the computing system. The emotion-related query may include an emotion-related criteria and a non-emotion-related criteria and the response may be based at least in part on the emotional state in combination with at least some of the other data. Other embodiments may be described and/or claimed.

Abstract: Various embodiments are generally directed to creating and using an index based on eye movements of the human eye to store and retrieve images in an image database. An apparatus comprises a processor circuit and a storage communicatively coupled to the processor circuit and storing instructions operative on the processor circuit to receive a first eye movement data associated with a first image provided by the apparatus from an image database stored in the storage; determine a first identity of a first object at a first focus region in the first image indicated by the first eye movement data; search the image database for an image depicting the first object; and provide a second image depicting the first object from the image database. Other embodiments are described and claimed herein.

Abstract: A device, method, and system for inferring user intent to perform an action on a computing device includes monitoring the eye movement patterns of a user and determining the action to be performed based on the eye movement patterns. Signals relating to the eye movement of the user while observing a display screen of the computing device are processed to produce at least one eye movement feature. One or more classifiers are generated based on a training set of data of the eye movement feature over a time interval in which the user observes the display screen with an intent to activate the action. Thereafter, an eye-movement-pattern of the user may be analyzed, and features may be extracted, as the user is observing the display screen. The intended action is automatically activated if the user intent is inferred using the one or more of the classifiers.

Abstract: Various embodiments are generally directed to creating and using an index based on eye movements of the human eye to store and retrieve images in an image database. An apparatus comprises a processor circuit and a storage communicatively coupled to the processor circuit and storing instructions operative on the processor circuit to receive a first eye movement data associated with a first image provided by the apparatus from an image database stored in the storage; determine a first identity of a first object at a first focus region in the first image indicated by the first eye movement data; search the image database for an image depicting the first object; and provide a second image depicting the first object from the image database. Other embodiments are described and claimed herein.

Abstract: Generally, this disclosure provides methods and systems for video indexing systems with viewer reaction estimation based on visual cue detection. The method may include detecting visual cues generated by a user, the visual cues generated in response to the user viewing the video; mapping the visual cues to an emotion space associated with the user; estimating emotion events of the user based on the mapping; and indexing the video with metadata, the metadata comprising the estimated emotion events and timing data associated with the estimated emotion events. The method may further include summarization, partitioning and searching of videos based on the video index.