• The Journal of the Acoustical Society of Korea
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• v.25 no.4
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• pp.151-158
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• 2006

In this paper, we proposed a new audio fingerprint extraction method, based on Philips' music retrieval algorithm, which uses the energy difference of neighboring filter-bank and probabilistic characteristics of music. Since Philips method uses too many filter-banks in limited frequency band, it may cause audio fingerprints to be highly sensitive to additive noises and to have too high correlation between neighboring bands. The proposed method improves robustness to noises by reducing the number of filter-banks while it maintains the discriminative power by representing the energy difference of bands with 2 bits where the quantization levels are determined by probabilistic characteristics. The correlation which exists among 4 different levels in 2 bits is not only utilized in similarity measurement. but also in efficient reduction of searching area. Experiments show that the proposed method is not only more robust to various environmental noises (street, department, car, office, and restaurant), but also takes less time for database search than Philips in the case where music is highly degraded.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.43 no.4 s.310
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• pp.80-87
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• 2006

Recently, the distribution and using of the digital multimedia contents are easy by developing the internet application program and related technology. However, the digital signal is easily duplicated and the duplicates have the same quality compare with original digital signal. To solve this problem, there is the multimedia fingerprint which is studied for the protection of copyright. Fingerprinting scheme is a techniques which supports copyright protection to track redistributors of electronic inform on using cryptographic techniques. Only regular user can know the inserted fingerprint data in fingerprinting schemes differ from a symmetric/asymmetric scheme and the scheme guarantee an anonymous before recontributed data. In this paper, we present a new scheme which is the detection of colluded multimedia fingerprint by neural network. This proposed scheme is consists of the anti-collusion code generation and the neural network for the error correction. Anti-collusion code based on BIBD(Balanced Incomplete Block Design) was made 100% collusion code detection rate about the average linear collusion attack, and the hopfield neural network using (n,k)code designing for the error bits correction confirmed that can correct error within 2bits.

• Proceedings of the Korea Information Processing Society Conference
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• 2016.10a
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• pp.129-130
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• 2016

실내 위치인식 기술인 핑거 프린트 기법을 이용해 출결을 확인함으로써 짧은 수업시간에 신속하고 정확하게 출석을 확인하는 것이 본 연구의 목적이다. 부정 출석을 막기 위해 핑거프린트를 이용한 실내 위치인식으로 학생들이 수업장소에 와있는지를 확인하고, 대리 출석을 막기 위해 출석확인을 하는 모바일기기의 고유 정보를 가져와 하나의 모바일 기기에서 한 번의 출석확인만 가능하도록 하였다. 또한 출석체크만 하고 수업을 빠져나가는 것을 방지하기 위해 수업 장소에 머무른 시간 또한 체크를 하였다. 향후 출석 시스템만이 아니라 출석 데이터로 출석이 성적에 미치는 영향 등 다양한 방면으로 활용될 수 있을 것이라 생각한다.

• The Journal of the Acoustical Society of Korea
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• v.32 no.5
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• pp.415-422
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• 2013

This paper proposes a robust binary audio fingerprinting method by minimizing hinge-loss function. In the proposed method, the type of fingerprints is binary, which is conducive in reducing the size of fingerprint DB. In general, the binarization of features for fingerprinting deteriorates the performance of fingerprinting system, such as robustness and discriminability. Thus it is necessary to minimize such performance loss. Since the similarity between two audio clips is represented by a hinge-like function, we propose a method to derive a binary fingerprinting by minimizing a hinge-loss function. The derived hinge-loss function is minimized by using the minimal loss hashing. Experiments over thousands of songs demonstrate that the identification performance of binary fingerprinting can be improved by minimizing the proposed hinge loss function.

• Journal of KIISE:Computer Systems and Theory
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• v.36 no.5
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• pp.396-403
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• 2009

An anonymous asymmetric fingerprinting protocol combined with watermarking techniques, is one of the copyright protection technologies keeping both right of a seller and that of a buyer, where a seller and an anonymous buyer perform such a protocol that employs various cryptographic tools in order that the seller does not know the exact watermarked copy that the buyer receives, while inserting an invisible non-removable fingerprint i.e., each different unique watermark, into each copy of the digital content to be sold. In such a protocol innocent buyers are kept anonymous during transactions, however, the unlawful reseller is unambiguously identified with a real identity as a copyright violator. In 2007, Yong and Lee proposed an anonymous asymmetric fingerprinting scheme with trusted third party. In this paper we point out the weakness of their scheme such as: the buyer with intention can remove the fingerprint in the watermarked content, because he/she can decrypt the encrypted fingerprint with a symmetric key using man-in-the-middle-attack; a real identity of a buyer can be revealed to the seller through the identification process even though he/she is honest. Furthermore, we propose an improved secure and efficient anonymous asymmetric fingerprinting scheme which enables to reduce the number of communication between the participants.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.1182-1187
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• 2006

본 논문은 필립스의 오디오 핑거프린트 추출 방식을 기반으로 기존의 방식이 주파수 영역을 너무 조밀하게 분석하는 특징을 지적하고 개선 방안으로 양자화를 통해 필터 뱅크의 에너지 변화율을 오디오 핑거프린트 추출시 반영하는 방법을 제안하였다. 또한 제안된 알고리즘을 사용하여 PDA 로 실제 어플리케이션을 구현하는 것을 목적으로 하고 있다. 제안된 방식은 필립스 방식과 동일한 메모리 크기를 유지하기 위하여 필터 뱅크의 개수를 33 개에서 17 개로 줄이고 필터 뱅크의 변화량을 2 비트로 할당하는 방식을 사용하였다. 변화량을 비트에 할당하기 위하여 음악 데이터 베이스로부터 추출된 각 밴드의 pmf를 통해 음악의 고유성을 최대로 증진 시킬 수 있는 임계치를 찾아내고 이것을 바탕으로 필터 뱅크의 변화량을 2 비트로 할당하였다. 이 같이 추출된 오디오 핑거프린트를 기반으로 PDA 와 음악 검색기 서버와의 통신을 이용하여 사용자가 요청한 쿼리 음악에 관련된 정보를 제공하는 시스템을 구현했다. 제안된 방식은 다양한 주변 잡음 환경에서 평가되어 기존의 필립스 방식 보다 성능 향상 물론 검색 속도 또한 개선되는 특징을 확인할 수 있었다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38A no.12
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• pp.1021-1029
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• 2013

In this paper, we propose a new indoor location estimation method which combines the fingerprint technique with the propagation prediction model. The wireless LAN (WLAN) access points (APs) deployed indoors are divided into public APs and private APs. While the fingerprint method can be easily used to public APs usually installed in fixed location, it is difficult to apply the fingerprint scheme to private APs whose location can be freely changed. In the proposed approach, the accuracy of user location estimation is improved by simultaneously utilizing public and private APs. Specifically, the fingerprint method is used to the received signals from public APs and the propagation prediction model is employed to the signals from private APs. The performance of the proposed method is compared with that of conventional indoor location estimation schemes through measurements and numerical simulations in WLAN environments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.5
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• pp.979-984
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• 2009

In this paper, the technique for production and encoding of new dot-type print watermark is proposed. The print watermark has characteristics similar to those of the digital watermark and function as link which change various first informations(texts, symbols, figures, etc) on the printed matter to secondary contents (sound, video, character, etc) corresponding each to informations on the printed matter. The proposed dot-type print watermark pattern is represented as $16{\times}16$ matrix in $0.4mm^2$ area and dots are printed on only 23 elements of $16{\times}16$ matrix. The size of each dot is so small(0.02mm)that it can not be seen. Because position of printed dots correspond to the position of each digit in binary notation in this paper, they are encoded easily and there are about 8,000,000 watermark patterns enough to express first information of printed matters. It was showed that the proposed print watermark patterns are recognized without difficulty by the own recognition device.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.41 no.4
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• pp.113-123
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• 2004

This paper presents a new collusion-secure fingerprinting scheme to embed fingerprints into three-dimensional(3-D) mesh models efficiently. In the proposed scheme, we make the same number of fingerprints as the number of customers based on the finite projective geometry, partition a 3-D mesh model related to the number of bits assigned to each fingerprint and then embed a watermark representing copyright information into each submesh to be marked. Considering imperceptibility and robustness of the watermarking algorithm we embed the watermark signal into mid-frequency DCT coefficients obtained by transforming vertex coordinates in the triangle strips which are generated from the submeshes to be marked. Experimental results show that our scheme is robust to additive random noises, MPEG-4 SNHC 3-D mesh coding, geometrical transformations, and fingerprint attacks by two traitors' collusion. In addition, we can reduce the number of bits assigned to each fingerprint significantly.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.5
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• pp.99-109
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• 2004

This paper proposes a new method for tracking image contents, which are re-distributed on the Internet using a web-robot and fingerprinting scheme. The fingerprinting is an extended technique of watermarking and embeds identity of the customer into the content as a fingerprint in a way that is very difficult to erase. The fingerprint in the content can be used widely in the field of the copyright protection technique because it identifies the content itself and includes the information about the original customer. In this paper we discuss an active image tracking system using a web-robot and fingerprinting scheme. In the proposed system the information of the original customer is embedded as a fingerprint into the image content before distribution and also stored into DB. The distributed contents are collected by the web-robot and fingerprinting information is extracted from the contents. Finally the identifying of contents is done by comparing the extracted fingerprint with the selling history of the content.