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: Methods, systems, and apparatus are generally described for providing an audio interface. In some examples, first voice data of a first narrator and a second voice data of a second narrator are received and the second voice data is transformed by a voice transformation function. At least a part of a first text data is converted into a first synthesized voice data based, at least in part, on the first voice data and at least a part of a second text data is converted into a second synthesized voice data based, at least in part, on the transformed second voice data by applying a voice transformation function which maximizes a feature difference between the first voice data and the transformed second voice data. The first synthesized voice data and the second synthesized voice data are provided in parallel on a temporal axis via the voice interface system.

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: Techniques for content providing and classifying users based on content search conditions are generally described. In some examples, the techniques may be embodied in apparatus, systems, and methods. An example content providing apparatus may include a receiving unit, a classifying unit, a content acquisition unit, and a determining unit. The receiving unit may be configured to receive content search conditions and the classifying unit may be configured to classify users into types according to the search conditions. The content acquisition unit may be configured to acquire content that includes non-text data based on the received search conditions and the determining unit may be configured to evaluate acquired content to identify data of the non-text data in the acquired content that is firstly processed to output based on the user type.

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: Techniques for content providing and classifying users based on content search conditions are generally described. In some examples, the techniques may be embodied in apparatus, systems, and methods. An example content providing apparatus may include a receiving unit, a classifying unit, a content acquisition unit, and a determining unit. The receiving unit may be configured to receive content search conditions and the classifying unit may be configured to classify users into types according to the search conditions. The content acquisition unit may be configured to acquire content that includes non-text data based on the received search conditions and the determining unit may be configured to evaluate acquired content to identify data of the non-text data in the acquired content that is firstly processed to output based on the user type.

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: Methods, systems, and apparatus are generally described for providing an audio interface.

Abstract: A motion vector V.sub.x of a picture block X between a current input picture and a preceding frame picture is corrected to V.sub.p, when said motion vector V.sub.x differs from a motion vector V.sub.r of adjacent blocks of said current input block, and (S.sub.v.sbsb.x <T.sub.hl, and S.sub.v.sbsb.p .gtoreq.T.sub.h2) is not satisfied, where S.sub.v.sbsb.x is a block difference of the block X between the current frame F.sub.0 and the preceding frame f.sub.2 for said motion vector V.sub.x, V.sub.p is one of motion vectors V.sub.r giving the minimum value of S.sub.v.sbsb.r, and S.sub.v.sbsb.p is a block difference for said v.sub.p. The present invention provides correct motion vector of a moving object on a screen irrespective of noise in a picture signal and sudden intensity change. The present invention is applicable to a frame interpolation in a television standard system conversion system, and an efficient coding of a television signal.

Abstract: An input digital signal with M(=5) samples/second is converted to an output signal with N(=6) samples/second with n(=9) quantization bits. The device comprises parallel shift registers each having bit length P+n(P=11) for accepting an input signal with bit length n; an address converter for providing the continuous P bits in input signals from each of said parallel shift registers for every shift operation of said shift registers; N groups of ROMs (read only memory) storing the predetermined value in each address which is designated by output of said address converter; a shift register adder for accumulating output of said ROMs with shift operation; and an output gate coupled with output of said shift register adder for providing a converted output signal.