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公开(公告)号：KR1020130061504A
公开(公告)日：2013-06-11
申请号：KR1020110127848
申请日：2011-12-01
Applicant: 한국전자통신연구원
IPC: G06F17/30
CPC classification number: G06F17/30787 , G06F17/10 , G10L25/51
Abstract: PURPOSE: A contents search method using audio characteristics is provided to search contents by using indexed audio characteristics, thereby quickly finding specific contents containing a content sample in a mass content database. CONSTITUTION: A pre-processing part converts an audio signal of an inputted content sample into a mono signal(S102,S103). A filter part extracts only the audio signal of a specific frequency band from the converted audio signal(S104). A location extraction part outputs the location of an acoustic power maximum value from the extracted audio signal(S105). A characteristic extraction part extracts a characteristic value from at least two specific sections based on the maximum value location(S106). A search part searches a database for contents including a characteristic value coinciding with the extracted characteristic value and outputs the contents(S107). [Reference numerals] (AA) Start; (BB) No; (CC) Yes; (DD) End; (S101) Input contents sample; (S102) Is this contents samples audio contents?; (S102`) Extract audio signal; (S103) Convert audio signal to mono signal; (S104) Extract specific frequency band; (S105) Extract the maximum value location from specific frequency band; (S106) Extract characteristic value in the specific area with extracted location standard; (S107) Search and output media by using the characteristic value
Abstract translation: 目的：提供使用音频特征的内容搜索方法，通过使用索引音频特征来搜索内容，从而在质量内容数据库中快速找到包含内容样本的特定内容。 构成：预处理部分将输入的内容样本的音频信号转换为单声道信号（S102，S103）。 滤波器部分仅从转换的音频信号中提取特定频带的音频信号（S104）。 位置提取部从所提取的音频信号输出声功率最大值的位置（S105）。 特征提取部分基于最大值位置从至少两个特定部分提取特征值（S106）。 搜索部件在数据库中搜索与所提取的特征值一致的特征值的内容，并输出内容（S107）。 （附图标记）（AA）开始; （BB）否; （CC）是; （DD）结束; （S101）输入内容样本; （S102）此内容是否对音频内容进行采样？ （S102`）提取音频信号; （S103）将音频信号转换为单声道信号; （S104）提取特定频带; （S105）从特定频带提取最大值位置; （S106）提取位置标准提取特定区域的特征值; （S107）使用特征值搜索和输出媒体
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公开(公告)号：KR1020110071208A
公开(公告)日：2011-06-29
申请号：KR1020090127712
申请日：2009-12-21
Applicant: 한국전자통신연구원
Inventor： 이근동
CPC classification number: G06K9/4604 , G06T7/13 , G06T7/507 , G06T2207/20164
Abstract: PURPOSE: A content based image retrieval device and method is provided to perform the content based retrieval by using a shape descriptor on the basis of the pixel information including the corner and edge. CONSTITUTION: A query image transforming part(100) converts the query image into the white/black image and normalizes the size of the query image. A shape information extracting part(200) extracts the feature from the all pixels of the normalized white/black query image based on the brightness value. A shape descriptor forming part(300) uses the feature and forms the shape descriptor of the pixels. An image conforming part(400) calculates the similarity between the shape descriptor and the images saved in database and searches the image. A search result output part(500) outputs the searched image according to the similarity.
Abstract translation: 目的：提供基于内容的图像检索装置和方法，用于基于包括角和边缘的像素信息使用形状描述符来执行基于内容的检索。 构成：查询图像变换部分（100）将查询图像转换为白/黑图像，并对查询图像的大小进行归一化。 形状信息提取部分（200）基于亮度值从归一化的白/黑查询图像的全部像素提取特征。 形状描述符形成部分（300）使用特征并形成像素的形状描述符。 图像一致部分（400）计算形状描述符与保存在数据库中的图像之间的相似度并搜索图像。 搜索结果输出部分（500）根据相似度输出搜索到的图像。
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公开(公告)号：KR1020170085372A
公开(公告)日：2017-07-24
申请号：KR1020160004912
申请日：2016-01-14
Applicant: 한국전자통신연구원
CPC classification number: G06T7/0004 , G06F17/30256 , G06F17/30271 , G06F17/3028 , G06K9/342 , G06K9/4604 , G06K9/6218 , G06K2209/17 , G06T2207/30128
Abstract: 본발명은음식검색서비스제공장치로, 이미지내에서음식이위치하는영역을탐색하여다수개의후보영역들을검출하는음식영역검출부와, 후보영역들간의겹치는영역에대한비율이유사한후보영역들을그룹화하는후보영역정제부와, 상기후보영역정제부에의해그룹화된후보영역들에서음식영역의위치및 음식종류를결정하는검색결과생성부를포함한다.
Abstract translation: 本发明是一种用于食品搜索服务提供装置，分组的食物区域检测单元，用于检测多个候选区域的搜索区域对位于图像中的食物的候选，候选的面积比是类似于候选区域之间的重叠区域 以及搜索结果生成单元，用于确定由候选区域细化单元分组的候选区域中的食物区域的位置和食物类型。
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Patent Agency Ranking
公开(公告)号：KR1020150099964A
公开(公告)日：2015-09-02
申请号：KR1020140021167
申请日：2014-02-24
Applicant: 한국전자통신연구원
CPC classification number: G06K9/4671 , G06F17/30247
Abstract: 본 발명은 컴퓨팅 장치에서의 이미지의 특징(Feature)을 추출하기 위한 방법에 관한 것으로, 상기 컴퓨팅 장치로 입력되는 이미지를 기반으로 GSS(Gaussian Scale Space) 이미지를 피라미드 형태로 생성하는 과정과, 상기 GSS 이미지에 대해 스케일 정규화된 라플라시안 필터링(Scale Normalized Laplacian Filtering)을 수행하는 과정과, 상기 스케일 정규화된 라플라시안 필터링을 통해 특징점(Interest Point)을 검출하는 과정과, 상기 검출된 특징점을 이용하여 상기 이미지의 특징을 추출하는 과정을 포함할 수 있다.
Abstract translation: 本发明涉及一种用于提取计算设备中的图像特征的方法，包括以下步骤：基于输入到计算设备中的图像，生成金字塔形状的高斯尺度空间（GSS）图像; 对GSS图像执行缩放归一化拉普拉斯滤波; 通过缩放归一化拉普拉斯滤波来检测兴趣点; 以及通过使用检测到的兴趣点来提取图像特征。
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公开(公告)号：KR1020130098771A
公开(公告)日：2013-09-05
申请号：KR1020120020558
申请日：2012-02-28
Applicant: 한국전자통신연구원
IPC: G06T7/00
CPC classification number: G06K9/46 , G06K9/4676 , G06K9/6201
Abstract: PURPOSE: An image recognizing apparatus using a scalable compact local descriptor and a method thereof are provided to generate scalable feature descriptors having different sizes and different processing speeds according to purposes, thereby differently extracting the descriptors according to descriptor storage spaces and the performance of an extractor. CONSTITUTION: A feature descriptor extractor extracts scalable compact local feature descriptor information, for recognizing an object, from input image information. A database (140) includes a plurality of feature descriptor information. A feature descriptor matching unit (130) compares a feature descriptor output from a feature descriptor generator (120) with a feature descriptor stored in the database, and recognizes an object included in the image. [Reference numerals] (110) Image obtaining unit; (120) Feature descriptor generator; (130) Feature descriptor matching unit
Abstract translation: 目的：提供一种使用可缩放紧凑局部描述符的图像识别装置及其方法，以根据目的产生具有不同大小和不同处理速度的可缩放特征描述符，从而根据描述符存储空间和提取器的性能不同地提取描述符 。 构成：特征描述符提取器从输入图像信息中提取用于识别对象的可缩放紧凑局部特征描述符信息。 数据库（140）包括多个特征描述符信息。 特征描述符匹配单元（130）将从特征描述符生成器（120）输出的特征描述符与存储在数据库中的特征描述符进行比较，并识别图像中包括的对象。 （附图标记）（110）图像获取单元; （120）特征描述符生成器; （130）特征描述符匹配单元
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公开(公告)号：KR1020130098769A
公开(公告)日：2013-09-05
申请号：KR1020120020556
申请日：2012-02-28
Applicant: 한국전자통신연구원
CPC classification number: G06K9/6202 , G06K9/4647
Abstract: PURPOSE: A matching device for generating a scalable feature descriptor and using the feature descriptor and a method thereof are provided to generate the scalable feature descriptor according to purposes and environments to which feature descriptor extraction technology will be applied, thereby providing various feature descriptors suitable for a mobile environment or a high performance personal computer environment. CONSTITUTION: An image pre-processor of a feature descriptor extraction device converts an input image into a black/white image, and normalizes a size of the image (320). A feature point and patch extractor extracts a feature point and a patch from a scale space of the normalized black/white image (330). A feature point patch statistics calculator generates patch blocks and respectively calculates statistics of the patch blocks (340). A morphological gradient calculator calculates a morphological gradient by using the calculated statistics (350). A feature descriptor extractor generates a feature descriptor (360). [Reference numerals] (310) Input an image; (320) Pre-treat the image; (330) Extract feature points and patches; (340) Calculates statistics of feature patches; (350) Calculate a morphological gradient; (360) Extract feature descriptors; (AA) Start; (BB) End
Abstract translation: 目的：提供用于生成可缩放特征描述符并使用特征描述符及其方法的匹配装置，以根据要应用特征描述符提取技术的目的和环境生成可伸缩特征描述符，从而提供适于 移动环境或高性能个人计算机环境。 构成：特征描述符提取装置的图像预处理器将输入图像转换成黑/白图像，并且对图像的尺寸进行归一化（320）。 特征点和补片提取器从归一化的黑/白图像（330）的比例空间中提取特征点和斑块。 特征点补丁统计计算器生成补丁块并分别计算补丁块的统计（340）。 形态梯度计算器通过使用计算的统计量计算形态梯度（350）。 特征描述符提取器生成特征描述符（360）。 （附图标记）（310）输入图像; （320）预处理图像; （330）提取特征点和补丁; （340）计算特征块的统计; （350）计算形态梯度; （360）提取特征描述符; （AA）开始; （BB）结束
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公开(公告)号：KR1020120064581A
公开(公告)日：2012-06-19
申请号：KR1020100125865
申请日：2010-12-09
Applicant: 한국전자통신연구원
IPC: G06T7/00
CPC classification number: G06K9/00362 , G06K9/629
Abstract: PURPOSE: Image classification apparatus and method are provided to enable users to obtain representative samples of individuals without the interference of a user on a personal photograph classifying system. CONSTITUTION: An image classification apparatus comprises the following: a database construction unit(100) saving a face feature descriptor or a clothing feature descriptor; a first processing unit(300) comparing a classification target image with the face feature or clothing feature descriptor, and generating a representative image model; a second processing unit(400) comparing additional information saved in the representative image model, and additional information of the classification target image. The second processing unit also classifies the classification target image per individual by the comparison result and the measured similarity.
Abstract translation: 目的：提供图像分类装置和方法，以使用户能够在没有用户对个人照片分类系统的干扰的情况下获得个体的代表性样本。 构成：图像分类装置包括以下：保存面部特征描述符或服装特征描述符的数据库构造单元（100） 将分类目标图像与面部特征或服装特征描述符进行比较并生成代表图像模型的第一处理单元（300） 比较代表图像模型中保存的附加信息和分类目标图像的附加信息的第二处理单元（400）。 第二处理单元还通过比较结果和测量的相似度对每个人的分类目标图像进行分类。
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公开(公告)号：KR1020110070732A
公开(公告)日：2011-06-24
申请号：KR1020100052026
申请日：2010-06-01
Applicant: 한국전자통신연구원
Abstract: PURPOSE: Digital video management and search system are provided to reduce search capacity and time and to improve search accuracy using features of digital video. CONSTITUTION: A video feature extractor(100) decodes input video and extracts features from the video. A video feature database(200) stores and manages features of a compared video. A video feature comparator obtains a candidate group by comparing the features of the input video and the features of the compared video. The video feature comparator detects and informs a section where the duplication of content occurs.
Abstract translation: 目的：提供数字视频管理和搜索系统，以减少搜索能力和时间，并通过数字视频功能提高搜索精度。 构成：视频特征提取器（100）解码输入视频并从视频中提取特征。 视频特征数据库（200）存储和管理比较视频的特征。 视频特征比较器通过比较输入视频的特征和比较视频的特征来获得候选组。 视频功能比较器检测并通知内容重复发生的部分。
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