2009 Digital Image Computing: Techniques and Applications, 2009
ABSTRACT The inherent nature of image and video and its multi-dimension data space makes its proc... more ABSTRACT The inherent nature of image and video and its multi-dimension data space makes its processing and interpretation a very complex task, normally requiring considerable processing power. Moreover, understanding the meaning of video content and storing it in a fast searchable and readable form, requires taking advantage of image processing methods, which when running them on a video stream per query, would not be cost effective, and in some cases is quite impossible due to time restrictions. Hence, to speed up the search process, storing video and its extracted meta-data together is desired. The storage model itself is one of the challenges in this context, as based on the current CCTV technology; it is estimated to require a petabyte size data management system. This estimate however, is expected to grow rapidly as current advances in video recording devices are leading to higher resolution sensors, and larger frame size. On the other hand, the increasing demand for object tracking on video streams has invoked the research on content-based image retrieval (CBIR) and content-based video retrieval (CBVR). In this paper, we present the design and implementation of a framework and a data model for CCTV surveillance videos on RDBMS which provides the functions of a surveillance monitoring system, with a tagging structure for event detection. On account of some recent results, we believe this is a promising direction for surveillance video search in comparison to the existing solutions.
2010 11th International Conference on Control Automation Robotics & Vision, 2010
This paper presents a novel generic weak classifier for object detection called &... more This paper presents a novel generic weak classifier for object detection called "Square Patch Feature". The speed and overall performance of a detector utilising Square Patch features in comparison to other weak classifiers shows improvement. Each weak classifier is based on the difference between two or four fixed size square patches in an image. A pre-calculated representation of the image
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras - ICDSC '10, 2010
... The University of Queensland 4072, QLD, Australia and National ICT Australia PO Box 6020, St ... more ... The University of Queensland 4072, QLD, Australia and National ICT Australia PO Box 6020, St Lucia 4067, QLD, Australia yasir@itee.uq ... 1 6. [15] J. Cho, B. Benson, S. Mirzaei, and R. Kastner, Parallelized architecture of multiple classifiers for face detection, in Application ...
A procedure is described for the time-frequency analysis of signals, based on time-frequency dist... more A procedure is described for the time-frequency analysis of signals, based on time-frequency distributions (TFDs) and instantaneous frequency (IF) estimation. First, a suitable TFD is used to determine the number of signal components. Then, if the signal is monocomponent, the IF law can be estimated directly. For multicomponent signals, two-dimensional windowing in the time-frequency domain (a form of time-varying filtering) is used to isolate each component; IF estimation is then applied to the individual ...
Frank Adelstein Dharma P. Agrawal Igor Aizenberg Giovanni Aloisio Kazumaro Aoki Hamid Arabnia Vij... more Frank Adelstein Dharma P. Agrawal Igor Aizenberg Giovanni Aloisio Kazumaro Aoki Hamid Arabnia Vijayan Asari Michail Attalah Robert L. Baber Pascal Bamford Nick Barnes Emad Bataineh Lejla Batina Siddika Berna Ors Guido Bertoni Euro Blasi Rainer Bluemel Luca Breveglieri Constantine Butakoff Greg Byrd Massimo Cafaro Miriam Capretz Gabriele Carteni Jordi Castella-Roca Herwin Chan Pei-Min Chen Alex Chen Chia-Chu Chiang Jagadish Chintala Edward Christensen Chi-Kit Ronald Chung Vaughan Clarkson Pedro Henrique G. Coelho Nedeljko Cvejic ...
2009 Digital Image Computing: Techniques and Applications, 2009
ABSTRACT The inherent nature of image and video and its multi-dimension data space makes its proc... more ABSTRACT The inherent nature of image and video and its multi-dimension data space makes its processing and interpretation a very complex task, normally requiring considerable processing power. Moreover, understanding the meaning of video content and storing it in a fast searchable and readable form, requires taking advantage of image processing methods, which when running them on a video stream per query, would not be cost effective, and in some cases is quite impossible due to time restrictions. Hence, to speed up the search process, storing video and its extracted meta-data together is desired. The storage model itself is one of the challenges in this context, as based on the current CCTV technology; it is estimated to require a petabyte size data management system. This estimate however, is expected to grow rapidly as current advances in video recording devices are leading to higher resolution sensors, and larger frame size. On the other hand, the increasing demand for object tracking on video streams has invoked the research on content-based image retrieval (CBIR) and content-based video retrieval (CBVR). In this paper, we present the design and implementation of a framework and a data model for CCTV surveillance videos on RDBMS which provides the functions of a surveillance monitoring system, with a tagging structure for event detection. On account of some recent results, we believe this is a promising direction for surveillance video search in comparison to the existing solutions.
2010 11th International Conference on Control Automation Robotics & Vision, 2010
This paper presents a novel generic weak classifier for object detection called &... more This paper presents a novel generic weak classifier for object detection called "Square Patch Feature". The speed and overall performance of a detector utilising Square Patch features in comparison to other weak classifiers shows improvement. Each weak classifier is based on the difference between two or four fixed size square patches in an image. A pre-calculated representation of the image
Proceedings of the Fourth ACM/IEEE International Conference on Distributed Smart Cameras - ICDSC '10, 2010
... The University of Queensland 4072, QLD, Australia and National ICT Australia PO Box 6020, St ... more ... The University of Queensland 4072, QLD, Australia and National ICT Australia PO Box 6020, St Lucia 4067, QLD, Australia yasir@itee.uq ... 1 6. [15] J. Cho, B. Benson, S. Mirzaei, and R. Kastner, Parallelized architecture of multiple classifiers for face detection, in Application ...
A procedure is described for the time-frequency analysis of signals, based on time-frequency dist... more A procedure is described for the time-frequency analysis of signals, based on time-frequency distributions (TFDs) and instantaneous frequency (IF) estimation. First, a suitable TFD is used to determine the number of signal components. Then, if the signal is monocomponent, the IF law can be estimated directly. For multicomponent signals, two-dimensional windowing in the time-frequency domain (a form of time-varying filtering) is used to isolate each component; IF estimation is then applied to the individual ...
Frank Adelstein Dharma P. Agrawal Igor Aizenberg Giovanni Aloisio Kazumaro Aoki Hamid Arabnia Vij... more Frank Adelstein Dharma P. Agrawal Igor Aizenberg Giovanni Aloisio Kazumaro Aoki Hamid Arabnia Vijayan Asari Michail Attalah Robert L. Baber Pascal Bamford Nick Barnes Emad Bataineh Lejla Batina Siddika Berna Ors Guido Bertoni Euro Blasi Rainer Bluemel Luca Breveglieri Constantine Butakoff Greg Byrd Massimo Cafaro Miriam Capretz Gabriele Carteni Jordi Castella-Roca Herwin Chan Pei-Min Chen Alex Chen Chia-Chu Chiang Jagadish Chintala Edward Christensen Chi-Kit Ronald Chung Vaughan Clarkson Pedro Henrique G. Coelho Nedeljko Cvejic ...
Uploads
Papers by Brian Lovell