Global Motion Estimation Using a New Motion Vector Outlier Rejection Algorithm

Yıldırım, Burak; Ilgin, Hakkı Alparslan

doi:10.1007/978-3-319-00542-3_50

Cited by 2 publications

(1 citation statement)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Motion vector coding in the HEVC standard (Lin et al, 2013) was introduced by Lin et al Several motion vector coding techniques were proposed during HEVC standardization, and the results were evaluated by other experts. Later, in the same year, a novel motion vector outlier rejection algorithm (Yildirim & Ilgin, 2013) was proposed by Yildirim & Ilgin. In this new technique, motion vector dissimilarity measurement was done to remove motion vector outliers, which led to fast and accurate GME. Experimental results of this method showed this method's success in terms of robustness, accuracy and complexity compared to the previously discussed algorithms.…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Different Cost Functions in Motion Vector Estimation

Acharjee

Chakraborty

Karâa³

et al. 2014

International Journal of Service Science, Management, Engineering, and Technology

View full text Add to dashboard Cite

Video is an important medium in terms of information sharing in this present era. The tremendous growth of video use can be seen in the traditional multimedia application as well as in many other applications like medical videos, surveillance video etc. Raw video data is usually large in size, which demands for video compression. In different video compressing schemes, motion vector is a very important step to remove the temporal redundancy. A frame is first divided into small blocks and then motion vector for each block is computed. The difference between two blocks is evaluated by different cost functions (i.e. mean absolute difference (MAD), mean square error (MSE) etc).In this paper the performance of different cost functions was evaluated and also the most suitable cost function for motion vector estimation was found.

show abstract

Section: Related Workmentioning

confidence: 99%