The present technique relates to an apparatus and a method for video-audio processing, and a program each of which enables a desired object sound to be more simply and accurately separated.

A video-audio processing apparatus includes a display control portion configured to cause a video object based on a video signal to be displayed; an object selecting portion configured to select the predetermined video object from the one video object or among a plurality of the video objects; and an extraction portion configured to extract an audio signal of the video object selected by the object selecting portion as an audio object signal. The present technique can be applied to a video-audio processing apparatus.

A smart mat includes a stepping potential generation unit, a computing processor and a transmission processor for sensing the stepping direction of a stepper to control the operation of a device. The stepping potential generation unit includes an upper mat, an isolating airgap layer, a lower mat and at least one high-resistance strips. When the stepper stands on the smart mat to press the stepping potential generation unit, a part of the stepping potential generation unit is pressed by an open-circuit state to form a closed circuit and generate a potential. The computing processor uses the distributed position of each potential and the time sequence of distributing each potential to compute and analyse a potential stepping process distribution area to obtain a stepping direction, so as to control the operation of the device through the transmission processor.

An emergency determining system configured as part of a cellular or mobile network to receive emergency data from public safety answering points and to evaluate the emergency based at least in part on third party data, network data, and the emergency data. For instance, the emergency determining system may determine a level, a geographic area, and/or a response to the emergency and to broadcast, via the cellular or mobile network, notifications to individual's personal electronic devices within the geographic area to alert the individuals to the emergency and to provide instructions related to an appropriate response by the individual.

A system and method for identifying and subsequently modifying target sections within images is disclosed. The method includes receiving a user request that includes a target image and a user input, such that the user input includes an action corresponding to the target image. The method further includes extracting a plurality of target image attributes from the user input and comparing the plurality of target image attributes with a set of attributes within a pattern attribute table. The pattern attribute table includes mapping of each of the set of attributes to an associated set of activated neurons within a neural network. Comparing the plurality of target image further includes identifying a set of activated neurons mapped to the matching attribute as neuron activations corresponding to the plurality of target image attributes. The method includes identifying a target image section based on the set of activated neurons using a back-propagation technique.

A system and method for identifying and subsequently modifying target sections within images is disclosed. The method includes receiving a user request that includes a target image and a user input, such that the user input includes an action corresponding to the target image. The method further includes extracting a plurality of target image attributes from the user input and comparing the plurality of target image attributes with a set of attributes within a pattern attribute table. The pattern attribute table includes mapping of each of the set of attributes to an associated set of activated neurons within a neural network. Comparing the plurality of target image further includes identifying a set of activated neurons mapped to the matching attribute as neuron activations corresponding to the plurality of target image attributes. The method includes identifying a target image section based on the set of activated neurons using a back-propagation technique.

A system and method for detecting, amplifying, and sorting non-transitory signals stemming from cellular activity of tissue in an extracellular medium is presented herein. Weak signals are difficult to detect, especially when they originate far from the measuring electrode. The invention takes advantage of stochastic resonance, i.e. adding noise to signals to amplify them and make them more detectable, to improve signal detection from a single electrode.

Embodiments of the disclosure provided herein can be used to improve the control, selection and transmission of data to a remote video conferencing environment, by use of a plurality of wired or wirelessly connected electronic devices. In one example, the transmission of data from a local environment can be improved by switching the source of visual inputs (e.g., cameras or display of an electronic device, such as laptop) and/or audio inputs (e.g., microphones) to the one or more appropriate visual and audio sources available within the local environment. The most appropriate visual and audio sources can be the sources that provide the participants in the remote environment the most relevant data giving the remote users the best understanding of the current activities in the local environment.

A noise source monitoring apparatus includes: a first storage unit storing captured image data; a second storage unit storing observed waveform data; a processing unit calculating, for each of the switch units, the degree of correlation between occurrence of a noise and operation of the switch unit, based on the captured image data and the observed waveform data; and a display control unit causing a display unit to display information indicating the degree of correlation.

According to an embodiment, a display control system includes a recognizer, a calculator, and a display controller. The recognizer is configured to recognize sound generated from a sound source. The calculator is configured to calculate a first direction of the sound source from a position of a user based at least in part on the recognized sound. The display controller is configured to cause a display to output display information that visually expresses the sound in a first display format determined based at least in part on an angle between a second direction in which the user faces and the first direction of the sound source.

An automated parsing pipeline system and method for anatomical localization and condition classification is disclosed. The system comprises an input even source, a memory unit and processor including a volumetric image processor, a voxel parsing engine, localization layer and a detection module. The volumetric image processor is configured to receive volumetric image from the input source and parse the received volumetric image. The voxel parsing engine is configured to assign each voxel a distant anatomical structure. The localization layer is configured to crop a defined anatomical structure with surroundings. The detection module is configured to classify conditions for each defined anatomical structure within the cropped image. The disclosed system and method provide accurate localization of a tooth and detects several common conditions in each tooth.