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RISS 인기검색어
- 검색키워드
- 저자 : Dinh Trieu Duong (검색결과 5 건)
- 무료
- 기관 내 무료
- 유료
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Dinh Trieu Duong,Jun-Hyung Kim,Sung-Hyun Cheon,Yeo-Jin Yoon,Sung-Jea Ko 대한전자공학회 2008 ITC-CSCC :International Technical Conference on Ci Vol.2008 No.7
In this paper, we propose a new error concealment algorithm that can effectively reconstruct the lost frame caused by transmission errors in the wireless environment. The proposed algorithm employs the bilateral motion estimation scheme where the received motion vectors (MVs) in the neighboring frames are weighted and utilized to construct the MV field for the concealed frame. Experimental results show that the proposed algorithm outperforms other techniques in term of both peak signal-to-noise ratio (PSNR) performance and subjective visual quality.
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Frame Error Concealment Using Pixel Correlation in Overlapped Motion Compensation Regions
Dinh Trieu Duong,Min-Cheol Hwang,Sung-Jea Ko,Byeong-Doo Choi 한국전자통신연구원 2009 ETRI Journal Vol.31 No.1
In low bit-rate video transmission, the payload of a single packet can often contain a whole coded frame due to the high compression ratio in both spatial and temporal domains of most modern video coders. Thus, the loss of a single packet not only causes the loss of a whole frame, but also produces error propagation into subsequent frames. In this paper, we propose a novel whole frame error concealment algorithm which reconstructs the first of the subsequent frames instead of the current lost frame to suppress the effects of error propagation. In the proposed algorithm, we impose a constraint which uses side match distortion (SMD) and overlapped region difference (ORD) to estimate motion vectors between the target reconstructed frame and its reference frame. SMD measures the spatial smoothness connection between a block and its neighboring blocks. ORD is defined as the difference between the correlated pixels which are predicted from one reference pixel. Experimental results show that the proposed algorithm effectively suppresses error propagation and significantly outperforms other conventional techniques in terms of both peak signal-to-noise ratio performance and subjective visual quality.
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A Novel Fusion Method for 3D-TV View Synthesis Using Temporal and Disparity Correlations
Dinh Trieu Duong,Minh Le Dinh,Byeungwoo Jeon,Xiem HoangVan 대한전자공학회 2019 IEIE Transactions on Smart Processing & Computing Vol.8 No.6
View synthesis like depth-image-based rendering (DIBR) plays a significant role in content creation for three-dimensional television. However, perceptual errors introduced by current view synthesis often result in severe distortions in synthesized images. In this paper, we propose a novel view synthesis fusion (VSF) method that adaptively exploits temporal and disparity correlations to improve the quality of the synthesized picture. The proposed VSF method defines a robust correlation assessment metric for fusing several pre-created virtual-view candidates. Unlike conventional methods, the proposed fusion algorithm is applied to both hole and non-hole areas. Experimental results show the proposed method significantly outperforms in peak signal-to-noise ratio (PSNR) and subjective visual quality, compared to other conventional methods.
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Performance Evaluation of Frame-loss Error-concealment Solutions for the SHVC Standard
Thuc Nguyen Huu,Duong Dinh Trieu,Byeungwoo Jeon,Xiem HoangVan 대한전자공학회 2017 IEIE Transactions on Smart Processing & Computing Vol.6 No.6
Scalable High Efficiency Video Coding (SHVC) has been emerging as an efficient video coding solution for adaptive video streaming and conferencing. SHVC is designed with a layered coding structure in which High Efficiency Video Coding (HEVC) tools are employed as core elements. However, compression efficiency and error sensitivity associated with efficient HEVC tools make this scalable codec less attractive for practical video transmission, especially when the loss of packets or video frames occurs. This problem severely impacts the display quality of received video. To address this problem, we propose efficient error concealment (EC) methods that compensate for a whole frame that is lost and that mitigate the error propagation problem occurring in practical video transmissions using SHVC. The presented EC methods mainly rely on the decoded information; thus, it is easily integrated into the SHVC decoder as a post-processing component. The experimental results obtained for both subjective and objective quality assessments show that the inter-layer correlation-based EC approach typically provides the highest concealed frame quality; thus, it is highly recommended for practical video transmission.
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Reduced Reference Quality Metric for Synthesized Virtual Views in 3DTV
Thanh Ha Le,Vuong Tung Long,Dinh Trieu Duong,정승원 한국전자통신연구원 2016 ETRI Journal Vol.38 No.6
Multi-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.
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