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On the security of the SARI image authentication system

On the security of the SARI image authentication system

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IEEE International conference on image Processing

作者： R. Radhakrishnan N. Memon Polytechnic University Brooklyn USA

We investigate the image authentication system, SARI, proposed by C.Y. Lin and S.F. Chang (see SPIE storage and retrieval of image/video databases, 1998), that distinguishes JPEG compression from malicious manipulations. In particular, we look at the image digest component of this system. We show that if multiple images have been authenticated with the same secret key and the digests of these images are known to an attacker, Oscar, then he can cause arbitrary images to be authenticated with this same but unknown key. We show that the number of such images needed by Oscar to launch a successful attack is quite small, making the attack very practical. We then suggest possible solutions to enhance the security of this authentication system.

关键词： Authentication image coding Discrete cosine transforms Transform coding Public key cryptography Digital signatures Public key Security image converters Fingerprint recognition

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Generating images with interactive manipulation and its model capture

Generating images with interactive manipulation and its mode...

引用

International conference on Pattern Recognition

作者： T. Masaki T. Yamauchi Y. Kitamura F. Kishino Department of Electronic and Information Systems Engineering Graduate School of Engineering Osaka University Suita Osaka Japan

ISBN: (纸本)0769507506

Methods of interactive image generation using processed video contents, and its 3D model capture are proposed; we mainly stress the key technique of the system and the implementation of moving 3D object extraction. In order to reflect a user's intention for generating new multimedia contents, we discuss the methods of storage, retrieval, and presentation. This system is an example of the novel creation of multimedia contents by using the technologies of computer vision and virtual reality. The user is able to generate novel multimedia contents without shape modeling by a human. The proposed low-cost extraction and interaction algorithm can track objects at 8 frames/sec with sufficient accuracy.

关键词： image generation Shape Power system modeling Content based retrieval Multimedia systems Virtual reality Computer vision Multimedia databases Information retrieval Data mining

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A real-time text-independent speaker identification system

A real-time text-independent speaker identification system

引用

International conference on image Analysis and Processing

作者： L.P. Cordella P. Foggia C. Sansone M. Vento Dipartimento di Informatica e Sistemistica Università di Napoli Federico II Napoli Italy Dipartimento di Ingegneria dellInformazione e di Ingegneria Elettrica Università di Salerno Fisciano Italy

ISBN: (纸本)0769519482

The paper presents a real-time speaker identification system based on the analysis of the audio track of a video stream. The system has been employed in the context of automatic video segmentation. It uses features evaluated in both the time and frequency domains. Their combined use significantly improve the performance of the system. Experiments have been carried on a database extracted from over one hour of television news, including 10 speakers. The obtained results confirm the effectiveness of the approach, showing an error rate less then 1% when the time interval used for identifying a speaker is about 1.5 seconds.

关键词： Real time systems image segmentation TV Spatial databases Cepstral analysis Streaming media Frequency Error analysis Indexing Content based retrieval

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A study on data deduplication techniques for optimized storage

A study on data deduplication techniques for optimized stora...

引用

International conference on Advanced Computing, ICAC

作者： E. Manogar S. Abirami Department of Information Science and Technology College of Engineering Guindy Chennai TamilNadu India

In recent years, the explosion of the data such as text, image, audio, video, data centers and backup data lead to a lot of problem in both storage and retrieval process. The enterprises invest lot of money for storing the data. Hence, an efficient technique is needed for handling the enormous data. There are two existing techniques for eliminating the redundant data in the storage system such as data deduplication and data reduction. Data deduplication is one of the best technique which eliminates redundant data, reduces the bandwidth and also minimizes the disk usage and cost. Various research papers have been studied from the literature, as the result, this paper attempts to summarize various storage optimization techniques, concepts and categories using data deduplication. In addition to this, chunk based data deduplication techniques are surveyed in detail.

关键词： Optimization Electronic mail Cloning databases Servers Memory Measurement

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A model-based form processing sub-system

A model-based form processing sub-system

引用

International conference on Pattern Recognition

作者： Jianchang Mao M. Abayan K. Mohiuddin IBM Almaden Research Center San Jose CA USA Department of EECS MIT Cambridge MA USA

ISBN: (纸本)081867282X

This paper presents a model-based form processing sub-system, which consists of a form model database and five modules: (i) form modeling, (ii) form recognition, (iii) form dropout, (iv) form definition tool, and (v) form reconstruction. The form modeling module builds explicit representations of scanned form templates to facilitate form recognition and dropout. It can also assist a user to define various fields on a form. The automatic form recognition eliminates the need for manually sorting input forms. The form dropout module effectively removes pre-printed form content to achieve a high data compression rate and to provide clean data for OCR. Our model-driven form dropout scheme has two major advantages over image-based subtraction methods in both dropout efficiency and quality preservation of filled-in data.

关键词： Optical character recognition software image reconstruction image databases Data compression image storage Information retrieval image recognition Sorting image retrieval Government

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video Content Analysis: From Visual Features to video Semantics

Video Content Analysis: From Visual Features to Video Semant...

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ICIG’2000 First International conference on image and Graphics--image and Graphic Technology Toward 21st Century and Beyond

作者： Alan Hanjalic Reginald L. Lagendijk Jan Biemond Delft University of Technology Faculty of Information Technology and Systems Department of Mediamatics Information and Communication Theory Group P.O.Box 5031 2600 GA Delft The Netherlands Delft University of Technology Faculty of Information Technology and Systems Department of Mediamatics Information and Communication Theory Group P.O.Box 5031 2600 GA Delft The Netherlands Delft University of Technology Faculty of Information Technology and Systems Department of Mediamatics Information and Communication Theory Group P.O.Box 5031 2600 GA Delft The Netherlands

This paper addresses the problem of recognizing the elements of video semantics by investigating the presence and temporal behavior of low-level features in video sequences. Examples of these features are color, texture, shape, frequency components, audio and speech characteristics. The extracted elements of video semantics can then be used to organize the content of a video database in such a way that the overall large search space and consequently the total interaction (browsing, query) time between the user and the database is as much reduced as possible. We concentrate in this paper on the elements of video semantics that can be extracted by working only with visual low-level features of a video. For this purpose we outline and discuss the methodologies for analyzing the content of a movie and broadcast news programs, that were developed in the course of the EU-ACTS research project SMASH (storage for Multimedia Application Systems in the Home).

关键词： video databases, video retrieval, video query, video browsing

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Semantic Management of Multimedia Documents for E-Government Activity

Semantic Management of Multimedia Documents for E-Government...

引用

International conference on Complex, Intelligent and Software Intensive Systems, CISIS

作者： F. Amato A. Mazzeo V. Moscato A. Picariello Department of Informatica e Sistemistica Università degli Studi di Napoli Federico II Naples Italy

ISBN: (纸本)9781424435692

E-government activities have the aim to optimize the work of the governmental offices and offer, to citizens and businesses, effective, accessible and efficient services. Dematerialization, which is among the main activities of e-government, is devoted to optimize information communication, in terms of consumed time and resources, as well as processing documents. In this work we propose a new model for multimedia document, suitable for e-government activities, and an information system able to integrate and process different multimedia data type (as images, text, graphic objects, audio, video, composite multimedia, etc.) providing facilities for indexing, storage, retrieval, control of multimedia data, together with long term preservation strategies.

关键词： Electronic government Multimedia systems Information retrieval conference management Management information systems Data mining Information management image storage Competitive intelligence Software systems

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Low-cost outdoor video motion and non-motion detection

Low-cost outdoor video motion and non-motion detection

引用

International Carnahan conference on Security Technology

作者： B.J.T. Jones Astra Developments Limited Hellerup Denmark

The video monitoring of outdoor sites is a demanding task that is commonly tackled by having security guards look at arrays of CCTV monitors. Experience shows that this is largely ineffective, both as a detector and a deterrent. However, modern digital imaging systems can solve both these problems by maintaining constant vigilance 24 hours a day. These systems can be versatile and can operate in several different modes, video motion detection, video nonmotion detection and incident capture, thus providing a flexibility of application environment. By basing these systems on powerful PC technology the end user benefits from a large range of facilities at relatively low cost. In particular, it is possible to have low cost frame storage and high performance communications over telephones, ISDN or Ethernet. image sequences both prior to and after an event can be stored and transmitted. Archiving and retrieval of events can be done efficiently through standard databases. However, in order that such systems be operationally viable it is essential that the detection algorithms be smart enough to reduce the number of false alarms to virtually zero. Most of the discussion concerns technology that is currently available and in everyday use: the author uses the ASTRAGUARD product as a specific example of such a system.

关键词： Motion detection Costs Monitoring Security Detectors Digital images Telephony ISDN Ethernet networks image sequences

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A fast wavelet packet and PCA based image indexing and authentication method

A fast wavelet packet and PCA based image indexing and authe...

引用

Canadian conference on Electrical and Computer Engineering (CCECE)

作者： Saif AlZahir D Singh Department of Computer Science UNBC British Columbia Canada University of Northern British Columbia Prince George BC CA

The rapid growth in image databases is presenting new research challenges in wide range of areas that span image indexing, image retrieval, authentication, and recognition. This paper presents a new algorithm for image indexing and authentication. Although the combination of wavelet transform and principal components analysis has been used in some image processing areas but they have not been used for image indexing and authentication before. The proposed algorithm is based on the extraction of selected features of images using principal components analysis and wavelet packets. The proposed algorithm addresses three main concerns: (i) search accuracy; (ii) time efficiency; and (iii) storage requirements. We use wavelet packets to decompose the image to its fundamental subbands then we apply PCA method to extract the features of the images. The extracted features are used to create image signatures. We have tested our algorithm on the ORL Database of Faces (the AT&T laboratories Cambridge Database), PIE database, Caltech-UCSD Birds 200 and other miscellaneous images from different sources. We compared our results with two other methods [2] and [13] and found that our method retrieved the query image with 100% efficiency which significantly higher than that of method [13] and it is much faster than both methods.

关键词： Wavelet packets Feature extraction Principal component analysis Wavelet analysis databases

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Vehicle Number Plate Recognition and Information Access System

Vehicle Number Plate Recognition and Information Access Syst...

引用

Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI), International conference on

作者： Pradeep B. Mane Varsha Kiran Patil Mayur R. Paithankar Mallikarjun M. Kotgire Samveg S. Shah Dept. Electronics and Telecommunication AISSMS Institute of Information Technology Pune India

ISBN: (数字)9798350355338

ISBN: (纸本)9798350355345

Addressing the growing challenges posed by increasing vehicles and stringent traffic violations, many vehicle number plates go undetected while passing through toll booths and traffic lights. Thus it creates the need for a vehicle number plate recognition system. Existing systems employing ANPR algorithms utilize MATLAB and K-Nearest neighbour algorithms for image processing. Drawbacks include limitations in adapting to dynamic environments, Real time recognition, handling multiple vehicles, slow processing speeds, incapability of multiple object detection in single frame. The paper focuses on Automatic Number Plate Recognition (ANPR), employing specialized cameras and advanced image processing and using YOLOv8 for object detection and extracting license plate information from video feeds using EasyOCR. The noisy data generated during character recognition is filtered out using Regex based algorithm. The system integrates with centralized databases for real-time vehicle information access for users. The same database is used to automate e-challan updation, contributing to traffic management by swiftly issuing fines for rule violations. The proposed video-based processing system achieves number plate detection using YOLOv8 and storage of vehicle number plates in a centralized MongoDB database with an accuracy achieved of 96% in license plate detection and reduces noisy data using algorithm. It also enables real-time data retrieval through a user interface using Reactjs as frontend and is also connected to the MongoDB database for precise and user-friendly access in modern traffic systems.

关键词： image recognition databases Heuristic algorithms Object detection Filtering algorithms Information filters Real-time systems Character recognition Noise measurement License plate recognition

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