Electronics and Telecommunications Research Institute

Dong Seok Jeong

Weon Geun Oh

Ik Hwan Cho

Won Keun Yang

Hyuk Jeong

Keun Dong Lee

Seon Tae Kim

Sang Il Na

Sung Kwan Je

Ju Kyoung Jin

Jun Woo Lee

Ju Kyong Jin

Hae Gwang Kim

A Young Cho

Ayoung Cho

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

An image searching method includes: resizing an input image in question; generating 3D image identifiers for the resized input image in question; and performing an image search for the input image in question by using the 3D image identifiers. Said resizing an input image includes: extracting a black-and-white image and a color image from the input image in question; resizing the black-and-white image; and resizing the color image. Said generating 3D image identifiers includes: extracting an MGST feature of the input image in question; extracting an angular partition feature of the input image in question; and extracting a color feature of the input image in question. Further, said performing an image search includes: calculating similarity between representative colors of the input image in question and a reference image; and if the similarity is above a predetermined level, matching the 3D image identifiers for the two images.

Image searching method and apparatus

An image signature creating method includes: creating a map by partitioning a still image using rings defined by concentric circles radially spaced apart from each other by a predetermined interval and radial lines circumferentially spaced apart from each other by a predetermined angle, the center of the still image being that of the concentric circles; and creating an image signature from the created map on the basis of distribution of pixels in regions defined by the rings and the radial lines. Accordingly, distribution of illegal contents is prevented and interrupted by search for and discrimination of a still image illegally deformed by a copying of or an intended attack on the still image.

Image signature creating method and apparatus for discriminating still images

Provided is a method of selecting test stimuli for use in evaluating performance of a video watermarking algorithm, including the steps of: calculating an image complexity rate (ICR) for each of a plurality of test stimulus candidates and classifying them into L (where L is an integer more than or equal to 2) levels based on the calculated ICR values; calculating an energy distribution rate (EDR) for each of the plurality of test stimulus candidates, and classifying them into M (where M is an integer more than or equal to 2) levels based on the calculated EDR values; calculating a motion rate (MR) for each of the plurality of test stimulus candidates and classifying them into N (where N is an integer more than or equal to 2) levels of the calculated MR values; and selecting at least one test stimulus from each of the L levels, M levels, the N levels of the test stimuli, respectively.

Method and systems for selecting test stimuli for use in evaluating performance of video watermarking methods

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Incheon, South Korea

Dong Seok Jeong