{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,6,12]],"date-time":"2022-06-12T05:06:16Z","timestamp":1655010376262},"reference-count":15,"publisher":"World Scientific Pub Co Pte Lt","issue":"01","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2017,1]]},"abstract":"<jats:p> To solve the uncertainty of motion for objects displayed on liquid crystal display (LCD), the motion estimation (ME) algorithm on the basis of global entirety\u00a0unidirectional motion and local\u00a0fast bidirectional motion (GEU-LFB) is proposed for motion-compensated temporal frame interpolation (MCTFI). Firstly, by observing\u00a0the moving objects in the scene, we will obtain a set of global\u00a0motion\u00a0vectors (MVs). Secondly, the fast local search based on the bidirectional ME is executed. Additionally, to make up for the\u00a0defect\u00a0of the bidirectional ME, a\u00a0method to generate the exposure mask and the occlusion mask is proposed by cleverly using the matching criterion of absolute difference and the set of global\u00a0MVs. Next, the optimal MV field is smoothed by the\u00a0vector median filter. Finally,\u00a0the temporal interpolation frame obtained through the weighted filtering compensation method is further improved by using masks. Overall, the experimental results show that the proposed algorithm has better performance than the existing methods in terms of objective and subjective criteria. Moreover, it can solve problems\u00a0of exposure\u00a0and occlusion, and get better frame interpolation for the video sequence with fast moving\u00a0targets. <\/jats:p>","DOI":"10.1142\/s0218001417580010","type":"journal-article","created":{"date-parts":[[2016,7,14]],"date-time":"2016-07-14T06:57:46Z","timestamp":1468479466000},"page":"1758001","source":"Crossref","is-referenced-by-count":3,"title":["Motion-Compensated Temporal Frame Interpolation Algorithm Based on Global Entirety Unidirectional Motion Estimation and Local Fast Bidirectional Motion Estimation"],"prefix":"10.1142","volume":"31","author":[{"given":"Zhiyong","family":"Shi","sequence":"first","affiliation":[{"name":"Chongqing University, College of Communication Engineering, No. 174 Shazhengjie, Shapingba, Chongqing 400030, China"},{"name":"Chongqing Communication Institute, No. A-1 Linyuan, Shapingba, Chongqing 400035, China"}]},{"given":"Fengchun","family":"Tian","sequence":"additional","affiliation":[{"name":"Chongqing University, College of Communication Engineering, No. 174 Shazhengjie, Shapingba, Chongqing 400030, China"}]},{"given":"Minjun","family":"Deng","sequence":"additional","affiliation":[{"name":"Chongqing University, College of Communication Engineering, No. 174 Shazhengjie, Shapingba, Chongqing 400030, China"}]},{"given":"Depeng","family":"Liu","sequence":"additional","affiliation":[{"name":"Chongqing University, College of Communication Engineering, No. 174 Shazhengjie, Shapingba, Chongqing 400030, China"}]}],"member":"219","published-online":{"date-parts":[[2017,1,5]]},"reference":[{"key":"S0218001417580010BIB002","doi-asserted-by":"publisher","DOI":"10.1109\/5.54807"},{"key":"S0218001417580010BIB003","doi-asserted-by":"publisher","DOI":"10.5594\/J12254"},{"key":"S0218001417580010BIB004","doi-asserted-by":"publisher","DOI":"10.1109\/30.883418"},{"key":"S0218001417580010BIB006","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2003.1233761"},{"key":"S0218001417580010BIB008","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2010.2087832"},{"key":"S0218001417580010BIB009","doi-asserted-by":"publisher","DOI":"10.1109\/TCE.2008.4711242"},{"key":"S0218001417580010BIB013","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2013.2278142"},{"key":"S0218001417580010BIB017","doi-asserted-by":"publisher","DOI":"10.1016\/S0923-5965(02)00141-8"},{"issue":"73","key":"S0218001417580010BIB018","first-page":"5219","volume":"14","author":"Liu Y.","year":"2011","journal-title":"J. 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