ARM Architecture Reference Manual
ARM Architecture Reference Manual
Adaptive MPEG-4 Video Streaming with Bandwidth Estimation
QoS-IP 2003 Proceedings of the Second International Workshop on Quality of Service in Multiservice IP Networks
Learning and Recognizing Human Dynamics in Video Sequences
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Active Face Tracking and Pose Estimation in an Interactive Room
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Neural network-based face detection
Neural network-based face detection
Real-time foveation techniques for low bit rate video coding
Real-Time Imaging
Rate scalable video coding using a foveation-based human visual system model
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
A robust, scalable, object-based video compression technique for very low bit-rate coding
IEEE Transactions on Circuits and Systems for Video Technology
Low bit-rate coding of image sequences using adaptive regions of interest
IEEE Transactions on Circuits and Systems for Video Technology
Face segmentation using skin-color map in videophone applications
IEEE Transactions on Circuits and Systems for Video Technology
Content-based video parsing and indexing based on audio-visual interaction
IEEE Transactions on Circuits and Systems for Video Technology
A rate-control scheme for video transport over wireless channels
IEEE Transactions on Circuits and Systems for Video Technology
A fast adaptive beamforming algorithm based on a simple DOA estimation method
International Journal of Wireless and Mobile Computing
Integration of P4P and IMS-based IPTV
International Journal of Wireless and Mobile Computing
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This paper presents a method for mobile face detection and tracking in media streaming applications. To account specifics of mobile image processing and pattern recognition, the experimental benchmarking of Intel x86 and Nokia S60 platforms is done. Various aspects on mobile phone use are considered in order to record a profile on a mobile media streaming user. The profile is generated by analysing pictures of mobile phone users and screenshots of their devices. The mobile face detection model is based on the optimised version of robust real-time object detection algorithm. Our optimisation enables to reduce the computational complexity of the original version in 4 times. We also describe the tracking mode in which the system achieves a near real-time frame rate (45 12 fps depending on the video complexity). The training of the face detector is done on the databases of more than 400 hr of video and the major parameters such as FRR and FAR are evaluated on a database of 30 min of video (including more than 5000 facial images) and 200 hr of video, respectively. Face tracking is benchmarked using 20 mobile video sequences, which cover a broad range of human activities and environmental changes. We describe the construction of the low bit-rate video coder that uses face detection and tracking to segment foreground/background object and encode them with a different bit-rate. We also describe a framework for smart videoconferences and experimental results on low bit-rate image coding for this application.