The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper proposes an efficient motion compensated frame rate conversion method using scaled motion. Different from previous methods where motion estimation and motion compensated interpolation having same search range, proposed method reduces the search range of motion compensated interpolation while search range of motion estimation remains unchanged. Experimental results show that the proposed...
In this paper, we propose a motion estimation algorithm for periodic pattern objects that conventional block matching based motion estimation algorithms cannot give reliable results. The proposed algorithm is based on spectral image analysis and statistical object motion calculation. The proposed algorithm doesn't significantly increase computational complexity because it uses Fast Fourier Transform...
This paper proposes a new motion vector (MV) regularization method. We present an optimization method of the tradeoff between motion accuracy and regularity. The proposed method adopts Lagrangian multiplier and greedy algorithm for optimization. By smoothing MVs while preserving motion accuracy, the proposed method can more efficiently regularize MVs than previous regularization methods. The experimental...
In this paper, we propose a novel method reducing motion artifacts in horizontal scrolling text (HST) area which has been frequently occurred during frame rate conversion (FRC) processing. The proposed method takes place in the following two steps: HST area detection and motion vector (MV) correction. The most dominant MV in each horizontal line is referred to as a block line motion vector (BLMV)...
This paper proposes a new frame rate up-conversion (FRUC) method. In the paper, we propose an overlap ratio between motion vectors, with which we determine adaptive block size for the motion estimation. In addition, the proposed method estimates the region of repeated patterns and treats them in a special manner. Conventional motion estimation methods usually produce wrong motion vectors for the repeated...
We introduce an advanced local fallback algorithm that is sensible of an object boundary. In previous studies, local vector smoothness (LVS) was used to determine the local fallback ratio. However, LVS in a properly interpolated object boundary results in unnecessary motion. Our local fallback algorithm application is sensible of the moving object boundary and occlusion though spatial and temporal...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.