Electronics and Telecommunications Research Institute

Sang Il Na

Weon Geun Oh

Hyuk Jeong

Keun Dong Lee

Sung Kwan Je

Seung Jae Lee

Young Ho Suh

Wook Ho Son

Seon Tae Kim

Da Un Jung

Weon-Geun Oh

Dong Seok Jeong

Keun-Dong Lee

Sung-Kwan Je

Ju Kyong Jin

Provided are an apparatus and method for automatically generating a visual annotation with respect to a massive image based on a visual language. The apparatus for automatically generating a visual annotation based on a visual language includes an image input unit configured to receive an input image, an image analyzing unit configured to extract feature information of the input image received by the image input unit, a searching unit configured to search a similar image with respect to the input Image and text information included in the similar image by using the feature information extracted by the image analyzing unit, and a visual annotation configuring unit configured to configure a visual annotation with respect to the input image by using the text information searched by the searching unit.

Apparatus and method for automatically generating visual annotation based on visual language

Provided are a shoe image retrieval apparatus and method using a matching pair, which can accurately retrieve image information corresponding to an inputted image from the database and provide the retrieved image information, by normalizing a correspondence relation in consideration of geometric image transformation about the matching pair and allowing a similar image to be retrieved by applying the normalized correspondence relation. It is possible to detect optimum geometric image transformation from a matching pair between the inputted shoe image and the image stored in the database and simultaneously retrieve a plurality of objects in the inputted shoe image based on the detected geometric image transformation, thereby providing an efficient shoe retrieval service.

Shoe image retrieval apparatus and method using matching pair

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.

Scalable feature descriptor extraction and matching method and system

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.

Digital video managing and searching system

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Daejeon, South Korea

Sang Il Na