Abstract:
A system for managing and searching for a digital video includes: a video feature point extraction unit decoding an input video and extracting a feature point; a video feature point database (DB) storing and managing a feature point of a video to be compared (i.e., a comparison target video), and a video feature point comparison unit coarsely comparing the feature point of the input video and that of the comparison target video to acquire a candidate group, and minutely comparing the candidate group to detect a content repeated section, and informing a user of the content repeated section.
Abstract:
A feature descriptor extracting method in a feature descriptor extracting apparatus is provided. The feature descriptor extracting method involves receiving an image from which a feature descriptor will be extracted, extracting a point at which a change in a pixel statistical value of the image is large as a feature point, and extracting a patch centered on the feature point, blocking the patch to calculate a statistical value of each of a plurality of patch blocks, calculating a morphological gradient by using a statistical value of the block-converted patch, and extracting a feature descriptor by using the morphological gradient in consideration of required feature descriptor complexity.
Abstract:
A fast matching system for a digital video is provided. The fast matching system includes a video feature point extractor for extracting feature points of video frames of a digital video when the digital video is input, a feature point index mapper for receiving the video feature points from the video feature point extractor and configuring an index table by mapping the video feature points to a plurality of indices, a video feature point database (DB) for storing the index table, and a video feature point comparator for outputting video information corresponding to matched indices by comparing the video feature points extracted by the video feature point extractor with the indices of the index table stored in the video feature point DB.
Abstract:
Provided are a method of searching for multimedia contents and an apparatus therefor. The method includes separating an audio signal from indexing target multimedia contents and performing pre-processing on the audio signal, extracting a silence period of the audio signal, extracting an audio feature in at least one predetermined length period after an end point of the silence period, storing at least two of information for the multimedia contents, the audio feature and the end point of the silence period, to be associated with each other, in a database, and receiving the audio feature of the multimedia contents and searching the database for multimedia contents having the same or a similar audio feature as the search target multimedia contents.
Abstract:
An image classifying apparatus may include a database constructor which constructs database by detecting face region from received classification target image, extracting face feature descriptor from detected face region, extracting a costume feature descriptor using position information of detected face region, and storing face feature descriptor and costume feature descriptor in database, a first processor which generates representative image model by comparing face feature descriptor and costume feature descriptor of classification target image stored in database based on a received representative image to search for a similar image and registering similar image in a representative image model for each person, and second processor which compares additional information of representative image stored in representative image model for each person and additional information of classification target image stored in database and classifies image for each person based on similarity measured by adding up weights corresponding to similarities according to comparison results.
Abstract:
A system for managing and searching for a digital video includes: a video feature point extraction unit decoding an input video and extracting a feature point; a video feature point database (DB) storing and managing a feature point of a video to be compared (i.e., a comparison target video), and a video feature point comparison unit coarsely comparing the feature point of the input video and that of the comparison target video to acquire a candidate group, and minutely comparing the candidate group to detect a content repeated section, and informing a user of the content repeated section.
Abstract:
A feature descriptor extracting method in a feature descriptor extracting apparatus is provided. The feature descriptor extracting method involves receiving an image from which a feature descriptor will be extracted, extracting a point at which a change in a pixel statistical value of the image is large as a feature point, and extracting a patch centered on the feature point, blocking the patch to calculate a statistical value of each of a plurality of patch blocks, calculating a morphological gradient by using a statistical value of the block-converted patch, and extracting a feature descriptor by using the morphological gradient in consideration of required feature descriptor complexity.