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.
A new MCP method called Neighbor Predicted Superimposed Search (NPSS) algorithm that uses superimposed inter-frame signals to achieve higher prediction accuracy is proposed in this paper. It outperforms other Multi-Hypothesis MCP (MHMCP) methods as it does not require the transmission of multiple motion vectors. The proposed method has better prediction quality and yet having comparable computational...
In multiview video coding, disparity compensated prediction exploits the correlation among different views. A common approach is to use the conventional motion compensated prediction to predict disparity effect among different views. However, the same object in different views usually has deformation of different extents and, thus, accurate disparity prediction cannot be achieved with such simple...
In modern video coding standards, for example H.264, fractional-pixel motion estimation (ME) is implemented. Many fast integer-pixel ME algorithms have been developed to reduce the computational complexity of integer-pixel ME. With these advancements, fractional-pixel ME becomes the new bottleneck in the implementation of video encoders. For example, the conventional hierarchical fractional-pixel...
Although variable block-size motion estimation provides significant video quality and coding efficiency improvement, it requires much higher computational complexity compared with fixed block size motion estimation. The reason is that the current motion estimation algorithms are mainly designed for fixed block size. Current variable block-size motion estimation implementation simply applies these...
In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Some attempts toward a more general motion model usually too complex to be practical in near future. In this paper, a new Block-Matching Translation and Zoom Motion-Compensated...
In modern video coding standards, motion compensated prediction (MCP) plays a key role to achieve video compression efficiency. Most of them make use of block matching techniques and assume the motions are pure translational. Attempts toward a more general motion model are usually too complex to be practical in near future. In this paper, a new Block-Matching Translation and Zoom Motion-Compensated...
In this paper, a novel weighted cross prediction (WCP) mode is proposed to replace DC mode in Intra_4times4 prediction of H.264/AVC. In the proposed scheme, the upper right part of one 4times4 block mainly employs vertical prediction while the lower left part mainly uses horizontal prediction, predicting both in vertical and horizontal directions in one block. This scheme uses simple prediction equations...
Easily trapped in local minima is one of the well-known problems in search point pattern based fast block motion estimation algorithms. This problem is especially serious in one-at-a-time search (OTS) and block-based gradient descent search (BBGDS). These two algorithms can provide very high speedup ratio but with low robustness in prediction accuracy especially for sequences with complex motions...
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.