M. Petkovic

Publication List Details

Period

2000 - 2009

Number

70

Co-Authors

Ciphertext-Policy Attribute-Based Threshold Decryption with Flexible Delegation and Revocation of User Attributes (extended version) (2009)

Ibraimi, L., Petkovic, M., Nikova, S.I., Hartel, P.H., Jonker, W.

In Ciphertext-Policy Attribute-Based Encryption (CP-ABE), a user secret key is associated with a set of attributes, and the ciphertext is associated with an access structure or decryption policy over...

Method of Key Management (2008)

Zych, A.K., Doumen, J.M., Jonker, W., Hartel, P.H., Petkovic, M.

The invention relates to a method of key management for group-based controlled access to encrypted data, in which a decryption key for the encrypted data can be obtained by a party if the party is a...

Content-based Video Retrieval (2007)

M. Petkovic

Introduction With technology advances in multimedia, digital TV and information highways, a large amount of video data is now publicly available. However, without appropriate search technique all...

Privacy and Security Issues in a Digital World (2007)

Petkovic, M., Jonker, W.

This chapter reviews the most important security and privacy issues of the modern digital world, emphasizing the issues brought by the concept of ambient intelligence. Furthermore, the chapter...

The Interval Revocation Scheme for Broadcasting Messages to Stateless Receivers (2007)

Zych, A.K., Petkovic, M., Jonker, W.

The Broadcast Encryption methods, often referred to as revocation schemes, allow data to be efficiently broadcast to a dynamically changing group of users. A special case is when the receivers are...

Enhancing Privacy for Digital Rights Management (2007)

Petkovic, M., Conrado, C., Schrijen, G.J., Jonker, W.

This chapter addresses privacy issues in DRM systems. These systems provide a means of protecting digital content, but may violate the privacy of users in that the content they purchase and their...

Method of Key Management (2006)

Zych, A.K., Doumen, J.M., Jonker, W., Hartel, P.H., Petkovic, M.

The invention relates to a method of key management for group-based controlled access to encrypted data, in which a decryption key for the encrypted data can be obtained by a party if the party is a...

Techniques for Automatic Video Content Derivation (2003)

Petkovic, M., Mihajlovic, V., Jonker, W.

In this paper, we focus on the use of three different techniques that support automatic derivation of video content from raw video data, namely, a spatio-temporal rule-based method, hidden Markov...

Two video analysis applications using foreground/background segmentation (2003)

Zivkovic, Z., Petkovic, M., Mierlo, R.J. Van, Keulen, M. Van, Heijden, F. Van Der, Jonker, W., ...

Probably the most frequently solved problem when videos are analyzed is segmenting a foreground object from its background in an image. After some regions in an image are detected as the foreground...

Content-based video indexing for the support of digital library search (2003)

Petkovic, M., Zwol, R. Van, Blok, H.E., Jonker, W., Apers, P.M.G., Windhouwer, M., ...

Presents a digital library search engine that combines efforts of the AMIS and DMW research projects, each covering significant parts of the problem of finding the required information in an enormous...

Techniques for Automatic Video Content Derivation (2003)

Petkovic, Dr. M., Mihajlovic, V., Jonker, Prof.dr. W.

In this paper, we focus on the use of three different techniques that support automatic derivation of video content from raw video data, namely, a spatio-temporal rule-based method, hidden Markov...

Two video analysis applications using foreground/background segmentation (2003)

Zivkovic, Z., Petkovic, Dr. M., Mierlo Van, R.J., Keulen Van, Dr.ir. M., Heijden Van Der, Dr.ir. F., Jonker, Prof.dr. W., ...

Probably the most frequently solved problem when videos are analyzed is segmenting a foreground object from its background in an image. After some regions in an image are detected as the foreground...

Techniques for Automatic Video Content Derivation (2003)

Petkovic, M., Mihajlovic, V., Jonker, W.

In this paper, we focus on the use of three different techniques that support automatic derivation of video content from raw video data, namely, a spatio-temporal rule-based method, hidden Markov...

Two video analysis applications using foreground/background segmentation (2003)

Zivkovic, Z., Petkovic, M., Mierlo Van, R., Keulen Van, M., Jonker, W., ...

Probably the most frequently solved problem when videos are analyzed is segmenting a foreground object from its background in an image. After some regions in an image are detected as the foreground...

Multi-modal extraction of highlights from TV formula 1 programs (2002)

Petkovic, M., Mihajlovic, V., Jonker, W., Djordjevic-Kajan, S.

As amounts of publicly available video data grow, the need to automatically infer semantics from raw video data becomes significant. In this paper, we focus on the use of dynamic Bayesian networks...

Multi-modal extraction of highlights from TV formula 1 programs (2002)

Petkovic, Dr. M., Mihajlovic, V., Jonker, Prof.dr. W., Djordjevic-Kajan, S.

As amounts of publicly available video data grow, the need to automatically infer semantics from raw video data becomes significant. In this paper, we focus on the use of dynamic Bayesian networks...

Content-based video indexing for the support of digital library search (2002)

Petkovic, M., Zwol Van, R., Blok, H.E., Jonker, W., Apers, P.M.G., Windhouwer, M., ...

Presents a digital library search engine that combines efforts of the AMIS and DMW research projects, each covering significant parts of the problem of finding the required information in an enormous...

Multi-modal extraction of highlights from TV formula 1 programs (2002)

Petkovic, M., Mihajlovic, V., Jonker, W., Djordjevic-Kajan, S.

As amounts of publicly available video data grow, the need to automatically infer semantics from raw video data becomes significant. In this paper, we focus on the use of dynamic Bayesian networks...

Cobra: A Content-Based Video Retrieval System (2002)

Petkovic, M., Jonker, W.

An increasing number of large publicly available video libraries results in a demand for techniques that can manipulate the video data based on content. In this paper, we present a content-based...

Extending a DBMS to Support Content-Based Video Retrieval: A Formula 1 Case Study (2002)

Petkovic, M., Jonker, W., Mihajlovic, V.

Content-based retrieval has been identified as one of the most challenging problems, requiring a multidisciplinary research among computer vision, information retrieval, artificial intelligence,...

Content-based Video Retrieval by Integrating Spatio-Temporal and Stochastic Recognition of Events (2001)

Petkovic, M., Jonker, W.

As amounts of publicly available video data grow the need to query this data efficiently becomes significant. Consequently content-based retrieval of video data turns out to be a challenging and...

Image segmentation and feature extraction for recognizing strokes in tennis game videos (2001)

Zivkovic, Z., Heijden, F. Van Der, Petkovic, M., Jonker, W.

This paper addresses the problem of recognizing human actions from video. Particularly, the case of recognizing events in tennis game videos is analyzed. Driven by our domain knowledge, a robust...

Content-based Video Retrieval by Integrating Spatio-Temporal and Stochastic Recognition of Events (2001)

Petkovic, Dr. M., Jonker, Prof.dr. W.

As amounts of publicly available video data grow the need to query this data efficiently becomes significant. Consequently content-based retrieval of video data turns out to be a challenging and...

Image segmentation and feature extraction for recognizing strokes in tennis game videos (2001)

Zivkovic, Z., Heijden Van Der, Dr.ir. F., Petkovic, Dr. M., Jonker, Prof.dr. W.

This paper addresses the problem of recognizing human actions from video. Particularly, the case of recognizing events in tennis game videos is analyzed. Driven by our domain knowledge, a robust...

Content-based Video Retrieval by Integrating Spatio-Temporal and Stochastic Recognition of Events (2001)

Petkovic, M., Jonker, W.

As amounts of publicly available video data grow the need to query this data efficiently becomes significant. Consequently content-based retrieval of video data turns out to be a challenging and...

Image segmentation and feature extraction for recognizing strokes in tennis game videos (2001)

Zivkovic, Z., Petkovic, M., Jonker, W.

This paper addresses the problem of recognizing human actions from video. Particularly, the case of recognizing events in tennis game videos is analyzed. Driven by our domain knowledge, a robust...

H.E.: Flexible and Scalable Digital Library Search (2001)

M. A. Windhouwer, A. R. Schmidt, R. Van Zwol, M. Petkovic, H. E. Blok, Menzo Windhouwer, ...

CWI is a founding member of ERCIM, the European Research Consortium for Informatics and Mathematics. CWI's research has a theme-oriented structure and is grouped into four clusters. Listed below...

Content-based retrieval of spatio-temporal video events, Multimedia Computing Track (2001)

M. Petkovic, W. Jonker

This paper addresses content-based video retrieval with an emphasis on spatio-temporal modeling and querying of events. Our approach is based on a layered model that guides the process of translating...

Content-based retrieval of spatio-temporal video events, Multimedia Computing Track (2001)

M. Petkovic, W. Jonker

This paper addresses content-based video retrieval with an emphasis on spatio-temporal modeling and querying of events. Our approach is based on a layered model that guides the process of translating...

Content-based video retrieval by integrating spatio-temporal and stochastic recognition of events (2001)

M. Petkovic, W. Jonker

As amounts of publicly available video data grow, the need to query this data efficiently becomes significant. Consequently, content-based retrieval of video data turns out to be a challenging and...

ABSTRACT Flexible and Scalable Digital Library Search (2001)

M. A. Windhouwer, A. R. Schmidt, R. Van Zwol, M. Petkovic, H. E. Blok, Menzo Windhouwer, ...

CWI is a founding member of ERCIM, the European Research Consortium for Informatics and Mathematics. CWI's research has a theme-oriented structure and is grouped into four clusters. Listed below...

Content-Based Retrieval of Spatio-Temporal Video Events (2001)

Petkovic, M., Jonker, W.

This paper addresses content-based video retrieval with an emphasis on spatio-temporal modeling and querying of events. Our approach is based on a layered model that guides the process of translating...

Recognizing Strokes in Tennis Videos Using Hidden Markov Models (2001)

Petkovic, M., Jonker, W., Zivkovic, Z.

This paper addresses content-based video retrieval with an emphasis on recognizing events in tennis game videos. In particular, we aim at recognizing different classes of tennis strokes using...

A Framework for Video Modelling (2000)

M. Petkovic

In recent years, research in video databases has increased greatly, but relatively little work has been done in the area of semantic content-based retrieval. In this paper, we present a framework for...

A Framework For Video Modelling (2000)

M. Petkovic, W. Jonker

In recent years, research in video databases has increased greatly, but relatively little work has been done in the area of semantic content-based retrieval. In this paper, we present a framework for...

A Framework for Video Modelling (2000)

M. Petkovic, W. Jonker

eo data model Static features Temporary extended features - colours - shapes - textures - spatial relations - motion - spatio-temporal relations Feature layer Object layer Event layer Video raw data...

A Framework for Video Modeling (2000)

Petkovic, M., Jonker, W.

In recent years, research in video databases has increased greatly, but relatively little work has been done in the area of semantic content-based retrieval. In this paper, we present a framework for...

An Overview of Data Models and Query Languages for Content-based Video Retrieval (2000)

Petkovic, M., Jonker, W.

As a large amount of video data becomes publicly available, the need to model and query this data efficiently becomes significant. Consequently, content-based retrieval of video data turns out to be...

Content-based video indexing for the support of digital library search

Petkovic, Dr. M., Zwol Van, Ir. R., Blok, Dr.ir. H.E., Jonker, Prof.dr. W., Apers, Prof.dr. P.M.G., Windhouwer, M., ...

Presents a digital library search engine that combines efforts of the AMIS and DMW research projects, each covering significant parts of the problem of finding the required information in an enormous...