Perception-oriented methodology for robust motion estimation design

A. Heinrich, R.J. Vleuten, van der, G. Haan, de

Research output: Contribution to journalArticleAcademicpeer-review

3 Citations (Scopus)
164 Downloads (Pure)

Abstract

Optimizing a motion estimator (ME) for picture rate conversion is challenging. This is because there are many types of MEs and, within each type, many parameters, which makes subjective assessment of all the alternatives impractical. To solve this problem, we propose an automatic design methodology that provides `well-performing MEs' from the multitude of options. Moreover, we prove that applying this methodology results in subjectively pleasing quality of the upconverted video, even while our objective performance metrics are necessarily suboptimal. This proof involved a user rating of 93 MEs in 3 video sequences. The 93 MEs were systematically selected from a total of 7000 ME alternatives. The proposed methodology may provide an inspiration for similar tough multi-dimensional optimization tasks with unreliable metrics .
Original languageEnglish
Pages (from-to)463-474
JournalIEEE Journal of Selected Topics in Signal Processing
Volume8
Issue number3
DOIs
Publication statusPublished - 2014

Fingerprint

Dive into the research topics of 'Perception-oriented methodology for robust motion estimation design'. Together they form a unique fingerprint.

Cite this