Composite Method in Real Time Video Stabilization

Bayrak, Serhat
Ulusoy, İlkay
Since digital video stabilization completely performs over the images, if requires exhaustive processing power. Therefore, it is less preferred for real-time applications. Global (background) motion estimation in floating video is the most time consuming part of digital video stabilization. In this work, the load of digital motion estimation is reduced by using mechanical motion sensors, thus, it is shown that digital video stabilization can be used for real-time applications.
IEEE 17th Signal Processing and Communications Applications Conference


Implementation of a distributed video codec
Işık, Cem Vedat; Akar, Gözde; Department of Electrical and Electronics Engineering (2008)
Current interframe video compression standards such as the MPEG4 and H.264, require a high-complexity encoder for predictive coding to exploit the similarities among successive video frames. This requirement is acceptable for cases where the video sequence to be transmitted is encoded once and decoded many times. However, some emerging applications such as video-based sensor networks, power-aware surveillance and mobile video communication systems require computational complexity to be shifted from encoder ...
Method and apparatus for the detection and classification of occlusion regions
Günyel, Bertan; Alatan, Abdullah Aydın (EPO, 2011)
In frame rate up-conversion for video signals interpolated frames are inserted within the video stream to increase the frame rate for display. Halo effects, observed as ghost replicas, can occur in occlusion regions around the boundaries of moving objects. To enable the occlusion regions to be compensated, they are detected by a method utilizing forward, backward and bidirectional motion vectors for each of a first frame (100), a second frame (104) and an interpolated frame (102). Occlusion regions (106,108...
FPGA implementation of real time digital video stabilization
Özsaraç, İsmail; Ulusoy, İsmail; Department of Electrical and Electronics Engineering (2011)
Video stabilization methods are classified as mechanical and digital. Mechanical methods are based on motion sensors. Digital methods are computer programs and classified into two as time domain and frequency domain based on the signal processing methods used for the motion analysis. Although, mechanical methods have good real time stabilization performance, they are not suitable for small platforms such as mobile robots. On the other hand, digital video stabilization methods are easy to implement on variou...
Video stabilization: digital and mechanical approaches
Bayrak, Serhat; Ulusoy, İlkay; Department of Electrical and Electronics Engineering (2008)
General video stabilization techniques which are digital, mechanical and optical are discussed. Under the concept of video stabilization, various digital motion estimation and motion correction algorithms are implemented. For motion estimation, in addition to digital approach, a mechanical approach is implemented also. Then all implemented motion estimation and motion correction algorithms are compared with respect to their computational times and accuracies over various videos. For small amount of jitter, ...
FPGA implementation of real time digital video super resolution for infrared cameras
Aktukmak, Mehmet; Halıcı, Uğur; Department of Electrical and Electronics Engineering (2013)
At present, the quality of image taken from infrared cameras is low compared to the other cameras because of manufacturing technology. So, resolution enhancement processes are becoming more important for these cameras. Super resolution is a good approach to solve this resolution problem. In general, the systems that infrared cameras used require video processing to perform in real time. So, a suitable approach should be selected and implemented to work in real time. The computational load and processing tim...
Citation Formats
S. Bayrak and İ. Ulusoy, “Composite Method in Real Time Video Stabilization,” presented at the IEEE 17th Signal Processing and Communications Applications Conference, Antalya, Türkiye, 2009, Accessed: 00, 2022. [Online]. Available: