Abstract: Technologies are generally described for controlling food intake. Example devices/systems described herein may include an image sensor, a dietary information identifier, a dietary management unit, and an image display unit. The image sensor may capture an image of a dish or a menu. The dietary information identifier may identify the dish or menu from the image and provide meal dietary information based on the identified dish or menu. The dietary management unit may store personal dietary information and determine combined dietary information based on the personal dietary information and the meal dietary information. The image display unit may process the captured image based on the combined dietary information in such a manner that a part of the captured image is hidden on an image display unit or a part of color or text information of the captured image is changed on the image display unit.

Abstract: Technologies are generally described for an automated external defibrillator (AED) dispatch system. In various examples, the AED dispatch system may include a receiver, a vehicle determination unit, and a transmitter. The receiver may be configured to receive, from a first device, a request message that includes first location information that indicates a location of the first device, and also receive, from one or more of second devices, one or more report messages, each of which includes second location information that indicates a location of the corresponding one of the second devices. The vehicle determination unit may be configured to select a vehicle to be dispatched based at least in part on the first location information and the respective second location information. The transmitter may be configured to transmit an instruction message to the second device associated with the selected vehicle to be dispatched.

Abstract: Techniques are generally described for user authentication. Example techniques may include providing a data set including audio data and image data, wherein the audio data includes voice recordings of multiple people, wherein the image data includes at least a facial image of at least one of the multiple people, receiving a response to the data set from a user device, and determining whether the received response corresponds to at least a part of content of the voice recording of the one of the multiple people whose facial image is included in the image data.

Abstract: Technologies are generally described for identification of recorded image data. In various examples, a mobile device may include a receiver, a memory and a processor. The receiver may be configured to receive a signal transmission from a surveillance apparatus located proximate to the mobile device, and the signal transmission from the surveillance apparatus includes a camera ID. The processor may be configured to coordinate operation of the receiver and the memory to: store the camera ID received from the receiver in association with a timestamp in the memory; receive a request to identify at least one camera ID associated with a user specified criteria; and identify one or more camera IDs that substantially match the user specified criteria.

Abstract: Technologies are generally described for determining a reliability of an online post. In some examples, a method may include identifying from an online post at least one word associated with a place, identifying a location from which the online post was posted, and determining a reliability of the online post based at least in part on the identified word associated with the place and the identified location from which the online post was posted.

Abstract: Technologies are generally described for an automated external defibrillator (AED) dispatch system. In various examples, the AED dispatch system may include a receiver, a vehicle determination unit, and a transmitter. The receiver may be configured to receive, from a first device, a request message that includes first location information that indicates a location of the first device, and also receive, from one or more of second devices, one or more report messages, each of which includes second location information that indicates a location of the corresponding one of the second devices. The vehicle determination unit may be configured to select a vehicle to be dispatched based at least in part on the first location information and the respective second location information. The transmitter may be configured to transmit an instruction message to the second device associated with the selected vehicle to be dispatched.

Abstract: Technologies are generally described for determining a reliability of an online post. In some examples, a method may include identifying from an online post at least one word associated with a place, identifying a location from which the online post was posted, and determining a reliability of the online post based at least in part on the identified word associated with the place and the identified location from which the online post was posted.

Abstract: Technologies are generally described for controlling food intake. Example devices/systems described herein may include an image sensor, a dietary information identifier, a dietary management unit, and an image display unit. The image sensor may capture an image of a dish or a menu. The dietary information identifier may identify the dish or menu from the image and provide meal dietary information based on the identified dish or menu. The dietary management unit may store personal dietary information and determine combined dietary information based on the personal dietary information and the meal dietary information. The image display unit may process the captured image based on the combined dietary information in such a manner that a part of the captured image is hidden on an image display unit or a part of color or text information of the captured image is changed on the image display unit.

Abstract: Technologies are generally described for a data collection scheme. In some examples, a method performed under control of an electronic device may include receiving a data submission request from a posting device; determining that data corresponding to the data submission request is stored in a memory of the electronic device; and notifying a user of the electronic device of the data submission request.

Abstract: Techniques are generally described for user authentication. Example techniques may include providing a data set including audio data and image data, wherein the audio data includes voice recordings of multiple people, wherein the image data includes at least a facial image of at least one of the multiple people, receiving a response to the data set from a user device, and determining whether the received response corresponds to at least a part of content of the voice recording of the one of the multiple people whose facial image is included in the image data.

Abstract: Technologies are generally described for determining a reliability of an online post. In some examples, a method may include identifying from an online post at least one word associated with a place, identifying a location from which the online post was posted, and determining a reliability of the online post based at least in part on the identified word associated with the place and the identified location from which the online post was posted.

Abstract: This apparatus calculates a direction of a light source (the sun) in a coordinate system having a 3D geometrical model of an object placed therein from geographic information on an object and a shooting time of image data, and detects a shadow region cast on the 3D geometrical model by a beam from a light source direction so as to identify the shadow region in the image data based on correspondence information. It uses a predetermined reflection model to estimate effects of shadings caused to the 3D geometrical model and determines a parameter of a reflection model suited to estimated shadings. And it performs calculation for removing the effects of the shadows and shadings by using the determined parameter from pixel values sampled from the image data so as to fit the calculated pixel values in the 3D geometrical model and generate a texture model.