Intel Corporation

Nice Systems Ltd.

Qognify Ltd.

Raanan Yehezkel

Michal Jacob

Guy Blumstein-Koren

Yaniv Gurwicz

Doron Girmonsky

Vladimir Goldner

Guy Boudoukh

Rinat Rappoport

Guy Jacob

Yosi Govezensky

Ido Lapidot

David Stanhill

Sergei Goffman

Roman Fishtein

Oren Gershon

Andrey Sloutsman

Ofer Givoli

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.

Adaptive provision of content based on user response

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.

Image storage and retrieval based on eye movements

A system and method for detecting an object of interest. A system and method may generate a first signature for an object of interest based on an image of the object of interest. A system and method may generate a second signature for a candidate object based on an image of the candidate object. A system and method may calculate a similarity score by relating the first signature to the second signature and may determine the image of the candidate object is an image of the object of interest based on the similarity score.

System and method for suspect search

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.

Emotion-related query processing

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.

Video indexing with viewer reaction estimation and visual cue detection

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.

System and method for inferring user intent based on eye movement during observation of a display screen

Systems and methods for identifying an appearance of an object in a video stream, include receiving, in real-time, an indication of an area of interest, from a user, within a frame of a video stream. The area of interest may include an image of an object. Automatically analyzing the characteristics of the area of interest, finding a frame in which the object first appears in time in the video stream and displaying to the user the video stream starting from the frame in which the object first appears.

System and method for quick object verification

Embodiments of the invention may include generating a description of a monitored scene and creating a plurality of rules related to the monitored scene by using common language. The description of the monitored scene and the plurality of rules may be converted into system parameters and an analysis of the video data may be performed based on the system parameters. The results of the analysis may be converted into one or more output terms from the plurality of predefined terms and may be displayed to a user in a common language.

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Kiryat Ekron, Israel

Raanan Yehezkel