VNU-UET Repository: No conditions. Results ordered -Date Deposited. 2024-03-28T15:42:29ZEPrintshttp://eprints.uet.vnu.edu.vn/images/sitelogo.pnghttps://eprints.uet.vnu.edu.vn/eprints/2016-12-14T08:26:58Z2016-12-14T08:26:58Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/1929This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/19292016-12-14T08:26:58ZMotion vector refinement algorithm for the high definition video codingThanh Ha Leltha@vnu.edu.vnSeung-Won JungThe Duy Buiduybt@vnu.edu.vnTrieu Duong Dinhduongdt@vnu.edu.vnSung-Jea Ko2016-12-14T08:26:05Z2016-12-14T08:26:05Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/1920This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/19202016-12-14T08:26:05ZAdaptive quarter-pel motion estimation and motion vector coding algorithm for the H. 264/AVC standardWe present an adaptive quarter-pel (Qpel) motion estimation (ME) method for H.264/AVC. Instead of applying Qpel ME to all macroblocks (MBs), the proposed method selectively performs Qpel ME in an MB level. In order to reduce the bit rate, we also propose a motion vector (MV) encoding technique that adaptively selects a different variable length coding (VLC) table according to the accuracy of the MV. Experimental results show that the proposed method can achieve about 3% average bit rate reduction.Seung-Won JungChun-Su ParkThanh Ha Leltha@vnu.edu.vnSung-Jea Ko2016-12-03T07:15:07Z2016-12-03T07:15:07Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/1922This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/19222016-12-03T07:15:07ZA new histogram modification based reversible data hiding algorithm considering the human visual systemSeung-Won JungThanh Ha Leltha@vnu.edu.vnSung-Jea Ko2016-12-03T07:01:10Z2016-12-03T07:01:10Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/2033This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/20332016-12-03T07:01:10ZReduced Reference Quality Metric for Synthesized Virtual Views in 3DTVMulti-view video plus depth (MVD) has been widely used owing to its effectiveness in three-dimensional data representation. Using MVD, color videos with only a limited number of real viewpoints are compressed and transmitted along with captured or estimated depth videos. Because the synthesized views are generated from decoded real views, their original reference views do not exist at either the transmitter or receiver. Therefore, it is challenging to define an efficient metric to evaluate the quality of synthesized images. We propose a novel metric—the reduced-reference quality metric. First, the effects of depth distortion on the quality of synthesized images are analyzed. We then employ the high correlation between the local depth distortions and local color characteristics of the decoded depth and color images, respectively, to achieve an efficient depth quality metric for each real view. Finally, the objective quality metric of the synthesized views is obtained by combining all the depth quality metrics obtained from the decoded real views. The experimental results show that the proposed quality metric correlates very well with full reference image and video quality metrics.Thanh Ha Leltha@vnu.edu.vnTung Long VuongTrieu Duong Dinhduongdt@vnu.edu.vnSeung-Won Jung2016-12-03T06:55:46Z2016-12-03T06:55:46Zhttp://eprints.uet.vnu.edu.vn/eprints/id/eprint/1913This item is in the repository with the URL: http://eprints.uet.vnu.edu.vn/eprints/id/eprint/19132016-12-03T06:55:46ZMacroblock-level deblocking method to improve coding efficiency for H. 264/AVCThanh Ha Leltha@vnu.edu.vnSeung-Won JungChun-Su ParkSung-Jea Ko