Milan Petkovic – författare

Advances in computing, communication and data storage have led to an increasing number of large digital libraries publicly available on the Internet. In addition to alphanumeric data, other modalities, including video, play an important role in these libraries. Ordinary techniques will not retrieve required information from the enormous mass of data stored in digital video libraries. Instead of words, a video retrieval system deals with collections of video records. Therefore, the system is confronted with the problem of video understanding. The system gathers key information from a video in order to allow users to query semantics instead of raw video data or video features. Users expect tools that automatically understand and manipulate the video content in the same structured way as a traditional database manages numeric and textual data. Consequently, content-based search and retrieval of video data becomes a challenging and important problem. This book focuses particularly on content-based video retrieval.After addressing basic concepts and techniques in the field, Content-Based Video Retrieval: A database perspective concentrates on the semantic gap problem - the problem of inferring semantics from raw video data, as the main problem of content-based video retrieval. This book identifies and proposes the integrated use of three different techniques to bridge the semantic gap, namely, spatio-temporal formalization methods, hidden Markov models, and dynamic Bayesian networks. As the problem is approached from a database perspective, the emphasis evolves from a database management system into a video database management system. This system allows a user to retrieve the desired video sequence among voluminous amounts of video data in an efficient and semantically meaningful way. This book also presents a modelling framework and a prototype of a content-based video management system that integrates the three methods and provides efficient, flexible and scalable content-based video retrieval. The proposed approach is validated in the domain of sport videos for which some experimental results are presented."Content-Based Video Retrieval: A Database Perspective" is designed for a professional audience, composed of researchers and practitioners in industry. The book should also be of use as a secondary text for graduate-level students in computer science and electrical engineering.

This book focuses particularly on content-based video retrieval. After addressing basic concepts and techniques in the field, Content-Based Video Retrieval: A Database Perspective concentrates on the semantic gap problem, i.e., the problem of inferring semantics from raw video data, as the main problem of content-based video retrieval. This book identifies and proposes the integrated use of three different techniques to bridge the semantic gap, namely, spatio-temporal formalization methods, hidden Markov models, and dynamic Bayesian networks. As the problem is approached from a database perspective, the emphasis evolves from a database management system into a video database management system. This system allows a user to retrieve the desired video sequence among voluminous amounts of video data in an efficient and semantically meaningful way. This book also presents a modeling framework and a prototype of a content-based video management system that integrates the three methods and provides efficient, flexible, and scalable content-based video retrieval. The proposed approach is validated in the domain of sport videos for which some experimental results are presented.

This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract new knowledge from data for healthcare applications. To do so, the book draws on several interrelated disciplines, including machine learning, big data analytics, statistics, pattern recognition, computer vision, and Semantic Web technologies, and focuses on their direct application to healthcare.Building on three tutorial-like chapters on data science in healthcare, the following eleven chapters highlight success stories on the application of data science in healthcare, where data science and artificial intelligence technologies have proven to be very promising.This book is primarily intended for data scientists involved in the healthcare or medical sector. By reading this book, they will gain essential insights into the modern data science technologies needed to advance innovation for both healthcare businesses and patients. A basic grasp of data science is recommended in order to fully benefit from this book.

This book constitutes the refereed proceedings of the 10th VLDB Workshop on Secure Data Management held in Trento, Italy, on August 30, 2013. The 15 revised full papers and one keynote paper presented were carefully reviewed and selected from various submissions. The papers are organized in technical papers and 10 vision papers which address key challenges in secure data management and indicate interesting research questions.

This book constitutes the refereed proceedings of the VLDB 2004 International Workshop on Secure Data Management in a Connected World, SDM 2004, held in Toronto, Canada in August 2004 in association with VLDB 2004. The 15 revised full papers presented were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections on encrypted data access, privacy perserving data management, access control, and database security.

Althoughcryptographyandsecuritytechniqueshavebeenaroundfor quitesome time, emerging technologies such as ubiquitous computing and ambient intel- gence that exploit increasingly interconnected networks, mobility and pers- alization put new requirements on security with respect to data management. As data is accessible anytime anywhere, according to these new concepts, it - comes much easier to get unauthorized data access. Furthermore, it becomes simpler to collect, store, and search personal information and endanger people's privacy. Therefore,researchin the area of secure data management is of growing importance, attracting the attention of both the data management and security researchcommunities.Theinterestingproblemsrangefromtraditionalones,such as access control (with all variations, like dynamic, context-aware, role-based), database security (e.g., e?cient database encryption schemes, search over - crypted data, etc.), and privacy-preserving data mining to controlled sharing of data.In addition to the aforementioned subject, this year we also called for - pers devoted to secure data management in healthcare as a domain where data security and privacy issues are traditionally important. The call for papers - tracted 38 papers both from universities and industry. The ProgramCommittee selected 16 research papers for presentation at the workshop. These papers are also collected in this volume which we hope will serve you as a useful research and reference material.

Recent developments in computer, communication, and information techno- gies, along with increasingly interconnected networks and mobility have est- lished new emerging technologies, such as ubiquitous computing and ambient intelligence, as a very important and unavoidablepartof everydaylife. However, this development has greatly in?uenced people’s security concerns. As data is accessible anytime from anywhere, according to these new concepts, it becomes much easier to get unauthorized data access. As another consequence, the use of new technologies has brought some privacy concerns. It becomes simpler to collect, store, and search personal information and endanger people’s privacy. Therefore, research in the area of secure data management is of growing imp- tance, attracting the attention of both the data management and security - search communities. The interesting problems range from traditional ones such asaccesscontrol(withallvariations,likerole-basedand/orcontext-aware),da- base security, operations on encrypted data, and privacy preserving data mining to cryptographic protocols. The call for papers attracted 33 papers both from universities and ind- try. The program committee selected 13 research papers for presentation at the workshop. These papers are also collected in this volume, which we hope will serve you as useful research and reference material.

Decisions on the limits of privacy intrusions – or privacy protection, for that matter – are ultimately political decisions. Research can de?ne the design space in which service providers and regulators may try to ?nd acceptable tradeo?s between security and privacy.

Although a number of cryptography and security techniques have been around for quite some time, emerging technologies, such as ubiquitous computing and ambient intelligence that exploit increasingly interconnected networks, mobility and personalization, put new requirements on privacy and security with respect to data management. As data are accessible anytime anywhere, according to these new concepts, it becomes much easier to get unauthorized data access. As another consequence, the use of new technologies has brought some privacy concerns. It becomes simpler to collect, store, and search personal information and endanger people’s privacy. Therefore, research in the area of secure data management is of growing importance, attracting the attention of both the data managementand securityresearchcommunities. The interesting problemsrange from traditional topics, such as access control and general database security, via privacy preserving data mining, to new research directions, such as search on encrypted data and privacy-enhancing technologies. This year, the call for papers attracted 29 papers both from universities and industry. For presentation at the workshop,the ProgramCommittee selected 11 full papers (37% acceptance rate) as well as 4 position papers. These papers are also collected in this volume, which we hope will serve you as a useful research and reference material.

Information and communication technologies are advancing fast. Processing speed is still increasing at a high rate, followed by advances in digital storage technology, which double storage capacity every year. Furthermore, communication techno- gies do not lag behind. The Internet has been widely used, as well as wireless te- nologies. With a few mouse clicks, people can communicate with each other around the world. All these advances have great potential to change the way people live, introducing new concepts like ubiquitous computing and ambient intelligence. Technology is becoming present everywhere in the form of smart and sensitive c- puting devices. They are nonintrusive, transparent and hidden in the background, but they collect, process, and share all kinds of information, including user beh- ior, in order to act in an intelligent and adaptive way. These emerging technologies put new requirements on security and data m- agement. As data are accessible anytime anywhere, it becomes much easier to get unauthorized data access. Furthermore, the use of new technologies has brought about some privacy concerns. It becomes simpler to collect, store, and search personal information, thereby endangering people’s privacy. Therefore, research in secure data management is gaining importance, attracting the attention of both the data management and the security research communities. The intere- ing problems range from traditional topics, such as, access control and general database security, via privacy protection to new research directions, such as cryptographically enforced access control.

The new emergingtechnologiesput new requirementsonsecurityanddata m- agement.Asdataareaccessibleanytimeanywhere,itbecomesmucheasiertoget unauthorized data access. Furthermore, the use of new technologies has brought some privacy concerns. It becomes simpler to collect, store, and search personal information thereby endangering people’s privacy. Therefore, research in secure data management is gaining importance, attracting the attention of both the data management and the security research communities. The interesting pr- lems range from traditional topics, such as, access control and general database security, via privacy protection to new research directions, such as cryptogra- ically enforced access control and encrypted databases. This year, the call for papers attracted 24 papers both from universities and industry. For presentation at the workshop,the ProgramCommittee selected 10 full papers (41% acceptance rate). These papers are collected in this volume, which we hope will serve as a useful research and reference material. The papers in the proceeding are grouped into three sections. The ?rst s- tion focuses on database security which remains an important research area. The papers in this section address several interesting topics including query optimization in encrypted databases, database provenance, database intrusion detection, and con?dence policy compliant query evaluation. The second section changes the focal point to the topic of access control. The papers in this s- tion deal with provenance access control, access control model for collaborative editors, self-modifying access control policies, and enforcing access control on XML documents. The third section focuses on privacy protection addressing the privacy issues around location-based servicesand anonymity/diversity for the micro-data release problem.

Advances in information and communication technologies continue to p- vide new means of conducting remote transactions. Services facilitated by these technologies are spreading increasingly into our commercial and private spheres. For many people, these services have changed the way they work, communicate, shop, arrange travel, etc. Remote transactions, however, may also open possibilities for fraud and other types of misuse. Hence, the requi- ment to authorize transactions may arise. Authorization may in turn call for some kind of user authentication. When users have to provide personal inf- mation to access services, they literally leave a part of their life on record. As the number of sites where such records are left increases, so does the d- ger of misuse. So-called identity theft has become a pervasive problem, and a general feeling of unease and lack of trust may dissuade people from using the services on o?er. This,inanutshell,isoneofthemajorchallengesinsecurityengineering- day. How to provide servicesto individuals securelywithout making undue - cursions into their privacy at the same time. Decisions on the limits of privacy intrusions – or privacy protection, for that matter – are ultimately political decisions. Research can de?ne the design space in which service providers and regulators may try to ?nd acceptable tradeo?s between security and privacy.

The VLDB Secure Data Management Workshop was held for the 7th time this year. The topic of data security remains an important area of research especially due to the growing proliferation of data in open environments as a result of emerging data services such as cloud computing, location based services, and health-related services. Con?dentiality is the main driving force behind the - search that covers topics such as privacy enhancing technologies, access control, and search in encrypted data. We received 20 submissions from which the program committee selected 10 papers to be presented at the workshop and included in the proceedings (50% acceptancerate). In addition, we areproud that Elisa Bertino accepted our in- tation to give a keynote for which she selected the topic of data trustworthiness. We hope the papers collected in this volume will stimulate your research in this area. The regular papers in the proceeding have been grouped into two sections. The?rstsectionfocusesonprivacy.Thepapersinthissectionpresentabalanced mix of theoretical work on anonymity and application-oriented work. Thesecondsectionfocusesondatasecurityinopenenvironments.Thepapers address issues related to the management of con?dential data that is stored in or released to open environments, such as, for example, in cloud computing. We wish to thank all the authors of submitted papers for their high-quality submissions. We would also like to thank the program committee members as well as additional referees for doing an excellent review job. Finally, let us - knowledge the work of Luan Ibraimi, who helped in the technical preparation of the proceedings.

This book constitutes the refereed proceedings of the 8th VLDB Workshop on Secure Data Management held in Seattle,WA, USA in September 2, 2011 as a satellite workshop of the VLDB 2011 Conference . The 10 revised full papers presented were carefully reviewed and selected from 19 submissions. The papers are organized in topical sections on privacy protection and quantification, security in cloud and sensor networks and secure data managment technologies.