Abstract: Methods, systems, and computer program products for domain adaptive speech recognition using artificial intelligence are provided herein. A computer-implemented method includes generating a set of language data candidates, each language data candidate comprising one or more graphemes, by processing a sequence of phonemes related to input speech data using an artificial intelligence-based data conversion model; determining, for a target pair of phonemes and graphemes, a subset of graphemes from the set of language data candidates; generating a first speech recognition output by processing the subset of graphemes using at least one biasing language model and an artificial intelligence-based speech recognition model; generating a second speech recognition output by replacing at least a portion of the subset of graphemes in the first speech recognition output with at least one of the graphemes from the target pair; and performing automated actions based on the second speech recognition output.

Abstract: To activate communication between an autonomous operation body and a user. Providing an information processing device that includes: an application control unit that controls operation of an application relating to communication between an autonomous operation body and a user; and a reflection unit that causes the autonomous operation body to reflect an operation performed by the user in the application. In the information processing device, the application control unit controls operation of an avatar imitating the autonomous operation body, and the reflection unit causes the autonomous operation body to reflect a reward obtained by the avatar on the basis of the operation performed by the user.

Abstract: There is provided an image stabilization device including: a control unit configured to perform first camera shake correction processing based on an optical camera shake correction method using a lens and second camera shake correction processing based on an electronic camera shake correction method of cutting out a captured image.

Abstract: A hydrogen gas supplying apparatus includes a switching section configured to output, in accordance with switch instructions, one of a hydrogen-containing gas that contains hydrogen and a non-hydrogen-containing gas that does not contain hydrogen, an output section through which the gas that has been output from the switching section is supplied to a subject, and a controller configured to send the switch instructions to the switching section in accordance with an elapsed time and to control an amount of hydrogen that is output from the switching section. The controller controls an amount of hydrogen output per unit time during a first period from a start of switching from the non-hydrogen-containing gas to the hydrogen-containing gas to be greater than an amount of hydrogen output per unit time during a second period successively following the first period.

Abstract: [Object] To provide an image processing device capable of outputting audio acquired as an audio data signal by capturing an arbitrary image. [Solution] Provided is an image processing device, including: a separation unit that separates a flicker pattern from an image obtained by capturing, at multiple exposure times, an image containing a scene that emits light on a basis of a flicker pattern converted from an audio signal; and a conversion unit that converts the separated flicker pattern to an original audio signal.

Abstract: There is provided an image stabilization device including: a control unit configured to perform first camera shake correction processing based on an optical camera shake correction method using a lens and second camera shake correction processing based on an electronic camera shake correction method of cutting out a captured image.

Abstract: [Object] To provide an image processing device capable of outputting audio acquired as an audio data signal by capturing an arbitrary image. [Solution] Provided is an image processing device, including: a separation unit that separates a flicker pattern from an image obtained by capturing, at multiple exposure times, an image containing a scene that emits light on a basis of a flicker pattern converted from an audio signal; and a conversion unit that converts the separated flicker pattern to an original audio signal.

Abstract: There is provided a client device including a storage section which stores content data, a control section which acquires content identification information for identifying the content data stored in the storage section, and a transmission section which transmits, to a server device, a registration request including user identification information for identifying a user who uses the client device and the content identification information acquired by the control section, and which, when the server device holds the content data identified by the content identification information, causes the server device to hold information obtained by associating the user identification information with the content identification information as user-specific registration information.

Abstract: Embodiments include systems and methods for an electronic device, which includes circuitry configured to detect a size of a face from a captured image. The circuitry is also configured to identify a distortion correction parameter which varies according to a size of the detected face. The circuitry is also configured to correct a distortion of the face within the captured image by utilizing the distortion correction parameter identified based on the size of the detected face from the captured image.

Abstract: Embodiments include systems and methods for an electronic device, which includes circuitry configured to detect a size of a face from a captured image. The circuitry is also configured to identify a distortion correction parameter which varies according to a size of the detected face. The circuitry is also configured to correct a distortion of the face within the captured image by utilizing the distortion correction parameter identified based on the size of the detected face from the captured image.

Abstract: An image processing apparatus includes: a local motion vector detection section; a global motion calculation section; a global motion vector calculation section; and an evaluation section.

Abstract: An image processing device, includes: a first motion vector calculation unit calculating a motion vector of a target block regarding the target block made with a plurality of pixels set up in a target image by detecting a block position maximally correlated with the target block in a search range set up in a reference image; a second motion vector calculation unit calculating a motion vector between the target image and the reference image from the motion vector for each of a plurality of target blocks set up in the target image; and a predictive motion vector setup unit setting up a predictive motion vector using a motion vector calculated between images in further past than the target image. The first motion vector calculation unit sets up the search range on the reference image based on a position of the target block and the predictive motion vector.

Abstract: There is provided a client device including a storage section which stores content data, a control section which acquires content identification information for identifying the content data stored in the storage section, and a transmission section which transmits, to a server device, a registration request including user identification information for identifying a user who uses the client device and the content identification information acquired by the control section, and which, when the server device holds the content data identified by the content identification information, causes the server device to hold information obtained by associating the user identification information with the content identification information as user-specific registration information.

Abstract: There is provided a client device including a storage section which stores content data, a control section which acquires content identification information for identifying the content data stored in the storage section, and a transmission section which transmits, to a server device, a registration request including user identification information for identifying a user who uses the client device and the content identification information acquired by the control section, and which, when the server device holds the content data identified by the content identification information, causes the server device to hold information obtained by associating the user identification information with the content identification information as user-specific registration information.

Abstract: The present application provides an image processing apparatus, including: a correlation value calculation section configured to determine a correlation value between a target block and a each of reference blocks; a section configured to determine a highest value from among the correlation values; a motion vector detection section configured to detect a motion vector of the target block; and a section configured to calculate an index to reliability of the motion vector detected by the motion vector detection section.

Abstract: A process output image generator generates one sheet of a process output image by performing a process using plural sheets of captured images sequentially output from a pickup device in consideration of one of the plural sheets of captured images as a reference image. A deterioration corrector corrects the image deterioration occurring in the captured images by an optical pickup system, with respect to the captured images in a front end of the process output image generator. A controller can control whether to perform the correction in the deterioration corrector for one sheet of the captured images, and controls to perform the correction with respect to at least the reference image among the plural sheets of captured images.

Abstract: Disclosed herein is a method of compensating a signal of an image of one screen for distortions in the horizontal and/or vertical directions of a screen of the image. The method includes the steps of: dividing one screen area of the image into a plurality of picture divisions; and detecting a movement vector of the image for each particular one of the picture divisions from information on a difference in image between the particular picture division on one of two screens and the particular division on the other of the two screens.