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.
In traditional predictive video coding the block matching is performed at the encoder. The obtained motion field is then transmitted to the decoder, together with the prediction residue. Nevertheless, if the motion field is not provided it can be reconstructed, as long as the decoder manages to exploit some correlated information. This paper presents an algorithm for the motion estimation at the decoder...
In the draft of multi-view coding (MVC), variable size motion estimation and disparity estimation are employed to select the best coding mode for each macroblock. These techniques achieve the highest possible coding efficiency, but they result in extremely large computation complexity which obstructs MVC from practical application. This paper proposes a fast mode size decision algorithm for MVC in...
H.264/AVC encoder complexity is remarkable mainly due to variable block size motion estimation (ME) and exhaustive rate distortion optimization (RDO). This makes real-time video coding very difficult. In this paper, a novel fast mode decision algorithm for P-slices is presented to reduce the computational load. Based on the temporal and spatial correlation between macroblocks, a four paths prediction...
Block based motion estimation is widely used for exploiting temporal correlation within an image. This paper briefly describes the block-matching motion estimation principle, then based on the template for the Campaign to improve the efficiency of motion estimation algorithms were discussed in detail. It will be shown that the new algorithm is not only much faster than traditional algorithms, but...
A correlation based content aware search strategy that can reduce the computation complexity of motion estimation in H.264/AVC while maintaining almost same coding efficiency has been proposed. The degree of correlation determined by spatial neighboring blocks define motion content and help to select initial motion vector predictors. The motion information stored in the predicted motion vector helps...
In this paper we propose a content aware fast block matching motion estimation algorithm that can reduce the computation complexity of motion estimation module in H.264/AVC while maintaining almost same coding efficiency. In the first step inter block correlation is used to define a correlation coefficient that helps to identify the motion content of the current block. Based on this coefficient the...
Based on the statistical analysis of relation between CBP (Coded Block Pattern), MVD (Motion Vector Difference) and each coding mode, a fast mode selection algorithm based on macroblock-adaptive is proposed. In this algorithm, adaptive judgment strategies are adopted to filter partial coding mode quickly. The residual CBP, MVD information is used adequately to identify the relativity of intra and...
In the novel video coding standard H.264/AVC, motion estimation is allowed to adopt multiple reference frame in order to improve the coding efficiency. However, the computational cost of multiple reference frame motion estimation is very high. In this paper, we proposed a fast multiple reference frame motion estimation algorithm which takes into account the correlation and center-biased characteristic...
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.