@patent{Bjelica2017b,
title = {The method for adaptive video transmission with cameras in a vehicle},
author = {Milan Z. Bjelica and Vladimir Marinković and Miodrag Đukić and Ivan Kaštelan},
year = {2017},
date = {2017-12-01},
number = {P-2017-1119},
howpublished = {M94},
keywords = {ADAS, automotive, image processing},
pubstate = {published},
tppubtype = {patent}
}
@conference{telfor1,
title = {Driver monitoring algorithm for Advanced Driver Assistance Systems},
author = {Aleksandra Simić and Ognjen Kocić and Milan Z. Bjelica and Milena Milošević},
doi = {10.1109/TELFOR.2016.7818908},
isbn = {978-1-5090-4086-5},
year = {2016},
date = {2016-11-22},
booktitle = {Telecommunications Forum (TELFOR), 2016 24th},
publisher = {IEEE},
address = {Belgrade, Serbia},
abstract = {Fast expansion of Advanced Driver Assistance Systems (ADAS) market and applications has resulted in a high demand for various accompanying algorithms. In this paper we present an implementation of Driver monitoring algorithm. Main goal of the algorithm is to automatically asses if driver is tired and in that case, raise a proper alert. It is widely used as a standard component of rest recommendation systems. Our approach is based on combination of computer vision algorithms for face detection and eyes detection. Additionally, we have tested our implementation in controlled environment on a real ADAS platform board.},
howpublished = {M33},
keywords = {ADAS, automotive, computer vision, driver monitoring, ieeexplore, image processing},
pubstate = {published},
tppubtype = {conference}
}
Fast expansion of Advanced Driver Assistance Systems (ADAS) market and applications has resulted in a high demand for various accompanying algorithms. In this paper we present an implementation of Driver monitoring algorithm. Main goal of the algorithm is to automatically asses if driver is tired and in that case, raise a proper alert. It is widely used as a standard component of rest recommendation systems. Our approach is based on combination of computer vision algorithms for face detection and eyes detection. Additionally, we have tested our implementation in controlled environment on a real ADAS platform board.
@conference{Papp2014,
title = {Real-time AV synchronization delay measurement for multimedia devices},
author = {Ištvan Papp and Milan Savić and Milan Z. Bjelica and Jelena Kovačević},
doi = {10.1109/ICCE.2014.6776049},
issn = {2158-3994},
year = {2014},
date = {2014-01-10},
booktitle = {Consumer Electronics (ICCE), 2014 IEEE International Conference on},
pages = {378-379},
publisher = {IEEE},
address = {Las Vegas, NV, USA},
abstract = {In this paper, a non-intrusive approach for measuring Audio/Video (AV) synchronization delay for wide range of multimedia devices is presented. The approach combines QR codes and sweep markers to enable cost-effective AV delay measurement in real-time. The concept relies on transmission of reference signal from source to the end-device and rendering on it. The output of the end-device is captured with any available camera. The audio/video delay is extracted from the captured content. The complexity of the measurement process allows execution in real-time on embedded platforms. It is also tolerant to occasional losses and degradations in the signal.},
howpublished = {M33},
keywords = {digital TV, ieeexplore, image processing},
pubstate = {published},
tppubtype = {conference}
}
In this paper, a non-intrusive approach for measuring Audio/Video (AV) synchronization delay for wide range of multimedia devices is presented. The approach combines QR codes and sweep markers to enable cost-effective AV delay measurement in real-time. The concept relies on transmission of reference signal from source to the end-device and rendering on it. The output of the end-device is captured with any available camera. The audio/video delay is extracted from the captured content. The complexity of the measurement process allows execution in real-time on embedded platforms. It is also tolerant to occasional losses and degradations in the signal.
@techreport{Papp2011,
title = {The device for testing a blurred image},
author = {Ištvan Papp and Mihajlo Katona and Dušan Majstorović and Vladimir Zlokolica and Nemanja Lukić and Zoran Marčeta and Stefanović Dejan and Milan Z. Bjelica and Zoran Jovanović},
year = {2011},
date = {2011-01-01},
address = {Trg Dositeja Obradovića 6, Novi Sad},
institution = {University of Novi Sad, Faculty of Technical Sciences},
howpublished = {M81},
type = {M81},
note = {TR-11005},
keywords = {digital TV, image processing},
pubstate = {published},
tppubtype = {techreport}
}
@conference{Mrazovac2010,
title = {Fast video decoder for low-cost embedded CPUs: A software solution and a case study},
author = {Bojan Mrazovac and
Milan Z. Bjelica and
Nikola Teslic},
url = {http://ieeexplore.ieee.org/document/5733898/},
isbn = {978-1-61284-400-8},
year = {2010},
date = {2010-01-01},
booktitle = {Circuits and Systems for Communications (ECCSC), 2010 5th European Conference on},
pages = {228-231},
publisher = {IEEE},
address = {Belgrade, Serbia},
abstract = {This paper presents an optimized software solution for fast video decoding, which can be easily integrated into systems that lack hardware support for parallel video processing. These systems are usually based on a single low processing power hardware decoder, which is in charge of processing one video stream. If it is required to decode two different video streams in parallel, decoder as such one would not be enough. In this paper we present a cheap and simple video decoder which decodes and displays another video stream, thus allowing parallel visualization of two video streams. The decoder utilizes modified MPEG-2 decoding algorithm, which decodes and displays only certain frames (I-frames) and their elements (DC coefficients per each block of pixels). DC coefficients of each I-frame are collected in order to create a picture. Described approach is applied for a digital TV set-top box as a support for Picture-in-Picture functionality. Presented approach follows the inability of the target system to use the conventional MPEG-2 decoding algorithm, due to its real-time constraints.},
howpublished = {M33},
keywords = {digital TV, ieeexplore, image processing},
pubstate = {published},
tppubtype = {conference}
}
This paper presents an optimized software solution for fast video decoding, which can be easily integrated into systems that lack hardware support for parallel video processing. These systems are usually based on a single low processing power hardware decoder, which is in charge of processing one video stream. If it is required to decode two different video streams in parallel, decoder as such one would not be enough. In this paper we present a cheap and simple video decoder which decodes and displays another video stream, thus allowing parallel visualization of two video streams. The decoder utilizes modified MPEG-2 decoding algorithm, which decodes and displays only certain frames (I-frames) and their elements (DC coefficients per each block of pixels). DC coefficients of each I-frame are collected in order to create a picture. Described approach is applied for a digital TV set-top box as a support for Picture-in-Picture functionality. Presented approach follows the inability of the target system to use the conventional MPEG-2 decoding algorithm, due to its real-time constraints.