• Proceedings of the Korean Society of Computer Information Conference
• /
• 2012.07a
• /
• pp.301-302
• /
• 2012

본 논문에서는 웹 서버에 사진을 등록(upload)하면 서버에서 자동으로 사진의 메타데이터(EXIF)의 GPS정보를 추출하여 미리 정이된 정보와 비교하여 사진이 촬영된 장소를 표시하고, 좌표 값을 활용하여 구글 지도(google map)과 연계되는 방법을 제안한다. 사진등록으로 사용되는 서버 웹페이지로는 php를 사용하여 그림을 등록하고, exif_read_data함수를 사용하여 메타데이터에 접근하고 메타데이터 안의 GPS의 값을 추출하여 정의된 분류표에 의해 사진을 분류하고, 구글지도와 연계하여 촬영된 위치를 지도상에서도 확인할 수 있도록 하였다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2007.06c
• /
• pp.64-68
• /
• 2007

본 논문은 영상의 메타데이터를 RDF를 이용하여 표현, 저장하고, SPARQL을 이용하여 검색하는 솔루션을 구현하여, RDF와 SPARQL을 통한 멀티미디어 파일의 메타데이터 관리 방안을 제시한다. 솔루션은 Jena2 프레임워크 기반으로 구현하였으며, Controller, EXIF Extractor, Metadata Schema, RDF Generator, Repository Manager, SPARQL Executor의 모듈로 구성된다.

• Journal of information and communication convergence engineering
• /
• v.19 no.1
• /
• pp.36-41
• /
• 2021

Text-based image retrieval is not only cumbersome as it requires the manual input of keywords by the user, but is also limited in the semantic approach of keywords. However, content-based image retrieval enables visual processing by a computer to solve the problems of text retrieval more fundamentally. Vision applications such as extraction and mapping of image characteristics, require the processing of a large amount of data in a mobile environment, rendering efficient power consumption difficult. Hence, an effective image retrieval method on mobile platforms is proposed herein. To provide the visual meaning of keywords to be inserted into images, the efficiency of image retrieval is improved by extracting keywords of exchangeable image file format metadata from images retrieved through a content-based similar image retrieval method and then adding automatic keywords to images captured on mobile devices. Additionally, users can manually add or modify keywords to the image metadata.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.46 no.3
• /
• pp.293-302
• /
• 2023

This study examines and proposes standardization approaches to address the heterogeneous issues of metadata in drone imagery within the agricultural sector. Image metadata comes in various formats depending on different camera manufacturers, with most utilizing EXIF and XMP. The metadata of cameras used in fixed-wing and rotary-wing platforms, along with the metadata requirements in image alignment software, were analyzed for sensors like DJI XT2, MicaSense RedEdge-M, and Sentera Double4K. In the agricultural domain, multispectral imagery is crucial for vegetation analysis, making the provision of such imagery essential. Based on Pix4D SW, a comparative analysis of metadata attributes was performed, and necessary elements were compiled and presented as a proposed standardization (draft) in the form of tag information.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.14 no.2
• /
• pp.323-330
• /
• 2019

Recently, as the growth of the Internet has led to a rapid increase in the consumption of multimedia such as photographs and moving images, the importance of metadata has been emphasized. In the case of existing metadata, only limited information such as GPS value or focal length according to the format is stored. However, with the development of mobile devices and multimedia acquisition devices, various sensors can be used in the devices. Therefore, this paper describes a method that can store not only the existing metadata format information at the time of multimedia acquisition but also another existing format of metadata such as information of various sensors which is the gyroscope and acceleration sensor of the device. We propose an application program that provides moving location information. The proposed method is expected to provide various applications such as image matching and effective image classification.

• Journal of Convergence for Information Technology
• /
• v.8 no.6
• /
• pp.231-236
• /
• 2018

Recently, a wide variety of IoT environment is being created due to the rapid development of information and communication technology. And accordingly in a variety of network structures, a countless number of attack techniques and new types of vulnerabilities are producing a social disturbance. In May of 2018, Talos Intelligence, the Cisco threat intelligence team has newly discovered 'VPN-Filter', which constitutes a large-scale IoT-based botnet, is infecting consumer routers in over 54 countries around the world. In this paper, types of IoT-based botnets and the attack techniques utilizing botnet will be examined and the countermeasure technique through EXIF metadata removal method which is the cause of connection method of C & C Server will be proposed by examining the characteristics of attack vulnerabilities and attack scenarios of VPN-Filter.