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.
|Title of host publication||2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings|
|Publisher||IEEE Computer Society|
|Number of pages||5|
|Publication status||Published - 2015 Dec 9|
|Event||IEEE International Conference on Image Processing, ICIP 2015 - Quebec City, Canada|
Duration: 2015 Sep 27 → 2015 Sep 30
|Name||Proceedings - International Conference on Image Processing, ICIP|
|Other||IEEE International Conference on Image Processing, ICIP 2015|
|Period||15/9/27 → 15/9/30|
Bibliographical notePublisher Copyright:
© 2015 IEEE.
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Signal Processing