True motion compensation with feature detection for frame rate up-conversion

Kyungah Kim, Minwoo Kim, Deokho Kim, Won Woo Ro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents a feature-based frame rate up-conversion algorithm which provides more comfortable visual experience by exploiting true motion of the objects. By considering the movement of the objects rather than the pixel values, the proposed method can create interpolated frames to reflect true movement of the video contents. We first find local features within a frame by using a feature detection algorithm. Then, the local features are matched between adjacent frames and are clustered to form an object region. The interpolated frame is created by using the perspective transformation, which enables to adequately track the dynamic movement of the defined objects. The proposed scheme efficiently resolves the blocking artifact problem and presents outstanding visual quality compared to the conventional block-based motion compensated interpolation algorithm.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings
PublisherIEEE Computer Society
Pages2260-2264
Number of pages5
ISBN (Electronic)9781479983391
DOIs
Publication statusPublished - 2015 Dec 9
EventIEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada
Duration: 2015 Sept 272015 Sept 30

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2015-December
ISSN (Print)1522-4880

Other

OtherIEEE International Conference on Image Processing, ICIP 2015
Country/TerritoryCanada
CityQuebec City
Period15/9/2715/9/30

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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