Abstract:
Disclosed herein is an apparatus and method for measuring quality of audio. The apparatus includes a distorted signal generation unit, an extraction unit, a distortion level measurement unit, a distortion function generation unit, and a search and measurement unit. The distorted signal generation unit generates a plurality of distorted signals with respect to audio in compliance. The extraction unit extracts a fingerprint and AV information corresponding to the audio and fingerprints and AV information corresponding to the plurality of distorted signals. The distortion level measurement unit measures fingerprint distance differences, and arousal and valence (AV) distance differences. The distortion function generation unit generates a fingerprint distortion function and an AV distortion function. The search and measurement unit measures the quality of the audio by extracting a fingerprint and AV information from query audio and then comparing extraction results with the fingerprint distortion function or AV distortion function.
Abstract:
The present invention relates to a context reasoning method and apparatus. A context reasoning apparatus include a model constructing unit configured to construct a context representation model using spatio-temporal attribute information for a plurality of objects existing in observational space; and a context reasoning unit configured to recognize current context by performing context reasoning based on the context representation model and generating events related to the current context, wherein the context representation model is composed with an observation layer in which temporal attribute and spatial attribute information for the objects is represented, a syntactic layer in which complex information, provided from the information represented in the observation layer, is represented, and a semantic layer in which semantic information, provided through combination and analysis of the information represented in the observation layer and the syntactic layer is represented.
Abstract:
An apparatus and method for processing an image based on feature points is provided, more specifically, provides a technology used in extracting feature points with high importance after determination of importance, searching images, and the like. Therefore, matching images can be effectively performed, and efficiency of time and memory can be increased.
Abstract:
A method and system for extracting a visual descriptor using a feature selection are provided. The system includes an image input unit configured to receive an image, a candidate feature point group detecting unit configured to detect a point having a local maximum or minimum of local region filtering in scale-space images as being included in a candidate feature point group, a feature point selecting unit configured to calculate an importance for each candidate feature point, depending on its characteristics, select the candidate feature point as a feature point when its importance is greater than the predetermined threshold value, a dominant orientation calculating unit configured to calculate a dominant orientation of the selected feature point and a visual descriptor extracting unit configured to extract a patch for each feature point, according to its scale, location and dominant orientation, and extract a visual descriptor from the patch.
Abstract:
Disclosed herein is technology for providing a medical image knowledge service. An apparatus for providing a medical image knowledge service according to an embodiment includes an image processing device for acquiring image information of at least a partial region of an analysis target based on a distribution of reactive oxygen species or magnetic particles, and generating final image information of an overall region of the analysis target based on results of analysis of the acquired image information. A medical knowledge service device constructs a medical knowledge model based on the acquired final image information, and provides a medical image knowledge service to a user using the constructed medical knowledge model.