Browsing by Author "Lin, Hung-Chih"

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Fast Algorithm on Selecting Bi-directional Prediction Type in H.264/AVC Scalable Video Coding
(2010)
Lin, Hung-Chih
;
Hang, Hsueh-Ming
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
In this paper, we propose a fast algorithm designed for the hierarchical prediction structure in H. 264/MPEG scalable video coding (SVC). It can efficiently reduce the heavy computational burden in performing the bi-directional (BI) prediction. We carefully examine the correlation of motion-rate costs and distortion values between BI and FW (forward) and BW (backward) prediction types. Then we construct an adaptive threshold to remove the unnecessary BI calculations. Comparing to JSVM 9.11, our method saves the encoding time from 44% to 54% for a number of test videos with negligible coding loss.*
Fast Bi-Directional Prediction Selection in H.264/MPEG-4 AVC Temporal Scalable Video Coding
(2011-12-01)
Lin, Hung-Chih
;
Hang, Hsueh-Ming
;
Peng, Wen-Hsiao
;
資訊工程學系
;
電子工程學系及電子研究所
In this paper, we propose a fast algorithm that efficiently selects the temporal prediction type for the dyadic hierarchical-B prediction structure in the H.264/MPEG-4 temporal scalable video coding (SVC). We make use of the strong correlations in prediction type inheritance to eliminate the superfluous computations for the bi-directional (BI) prediction in the finer partitions, 16 x 8/8 x 16/8 x 8, by referring to the best temporal prediction type of 16 x 16. In addition, we carefully examine the relationship in motion bit-rate costs and distortions between the BI and the uni-directional temporal prediction types. As a result, we construct a set of adaptive thresholds to remove the unnecessary BI calculations. Moreover, for the block partitions smaller than 8 x 8, either the forward prediction (FW) or the backward prediction (BW) is skipped based upon the information of their 8 x 8 partitions. Hence, the proposed schemes can efficiently reduce the extensive computational burden in calculating the BI prediction. As compared to the JSVM 9.11 software, our method saves the encoding time from 48% to 67% for a large variety of test videos over a wide range of coding bit-rates and has only a minor coding performance loss.
Fast Context-Adaptive Mode Decision Algorithm for Scalable Video Coding With Combined Coarse-Grain Quality Scalability (CGS) and Temporal Scalability
(2010-05-01)
Lin, Hung-Chih
;
Peng, Wen-Hsiao
;
Hang, Hsueh-Ming
;
資訊工程學系
;
電子工程學系及電子研究所
To speed up the H.264/MPEG scalable video coding (SVC) encoder, we propose a layer-adaptive intra/inter mode decision algorithm and a motion search scheme for the hierarchical B-frames in SVC with combined coarse-grain quality scalability (CGS) and temporal scalability. To reduce computation but maintain the same level of coding efficiency, we examine the rate-distortion (R-D) performance contributed by different coding modes at the enhancement layers (EL) and the mode conditional probabilities at different temporal layers. For the intra prediction on inter frames, we can reduce the number of Intra4x4/Intra8x8 prediction modes by 50% or more, based on the reference/base layer intra prediction directions. For the EL inter prediction, the look-up tables containing inter prediction candidate modes are designed to use the macroblock (MB) coding mode dependence and the reference/base layer quantization parameters (Qp). In addition, to avoid checking all motion estimation (ME) reference frames, the base layer (BL) reference frame index is selectively reused. And according to the EL MB partition, the BL motion vector can be used as the initial search point for the EL ME. Compared with Joint Scalable Video Model 9.11, our proposed algorithm provides a 20x speedup on encoding the EL and an 85% time saving on the entire encoding process with negligible loss in coding efficiency. Moreover, compared with other fast mode decision algorithms, our scheme can demonstrate a 7-41% complexity reduction on the overall encoding process.
FAST TEMPORAL PREDICTION SELECTION FOR H.264/AVC SCALABLE VIDEO CODING
(2009-01-01)
Lin, Hung-Chih
;
Hang, Hsueh-Ming
;
Peng, Wen-Hsiao
;
電子工程學系及電子研究所
;
Department of Electronics Engineering and Institute of Electronics
In this paper, we propose a fast algorithm that selects the temporal prediction type for the dyadic hierarchical prediction structure in scalable video coding (SVC). We make use of the strong correlations in the large block partitions to eliminate the unnecessary computations for bi-directional prediction. Moreover, based upon the information of an 8x8 partition, either forward or backward prediction is skipped for its smaller block partitions. Comparing to the JSVM 9.11, our method saves the encoding time from 50% to 60% for a number of test videos over a typical range of coding bit-rates and its coding penalty is negligible.*
FAST TEMPORAL PREDICTION SELECTION FOR H.264/AVC SCALABLE VIDEO CODING
(2009-01-01)
Lin, Hung-Chih
;
Hang, Hsueh-Ming
;
Peng, Wen-Hsiao
;
資訊工程學系
;
電子工程學系及電子研究所
In this paper, we propose a fast algorithm that selects the temporal prediction type for the dyadic hierarchical prediction structure in scalable video coding (SVC). We make use of the strong correlations in the large block partitions to eliminate the unnecessary computations for bi-directional prediction. Moreover, based upon the information of an 8x8 partition, either forward or backward prediction is skipped for its smaller block partitions. Comparing to the JSVM 9.11, our method saves the encoding time from 50% to 60% for a number of test videos over a typical range of coding bit-rates and its coding penalty is negligible.*
Impact of Enterobius vermicularis infection and mebendazole treatment on intestinal microbiota and host immune response
(2017-09-01)
Yang, Chin-An
;
Liang, Chao
;
Lin, Chia-Li
;
Hsiao, Chiung-Tzu
;
Peng, Ching-Tien
Background Previous studies on the association of enterobiasis and chronic inflammatory diseases have revealed contradictory results. The interaction of Enterobius vermicularis infection in particular with gut microbiota and induced immune responses has never been thoroughly examined. Methodology/Findings In order to answer the question of whether exposure to pinworm and mebendazole can shift the intestinal microbial composition and immune responses, we recruited 109 (30 pinwormnegative, 79 pinworm-infected) first and fourth grade primary school children in Taichung, Taiwan, for a gut microbiome study and an intestinal cytokine and SIgA analysis. In the pinworm-infected individuals, fecal samples were collected again at 2 weeks after administration of 100 mg mebendazole. Gut microbiota diversity increased after Enterobius infection, and it peaked after administration of mebendazole. At the phylum level, pinworm infection and mebendazole deworming were associated with a decreased relative abundance of Fusobacteria and an increased proportion of Actinobacteria. At the genus level, the relative abundance of the probiotic Bifidobacterium increased after enterobiasis and mebendazole treatment. The intestinal SIgA level was found to be lower in the pinworm-infected group, and was elevated in half of the mebendazole-treated group. A higher proportion of pre-treatment Salmonella spp. was associated with a non-increase in SIgA after mebendazole deworming treatment. Conclusions/Significance Childhood exposure to pinworm plus mebendazole is associated with increased bacterial diversity, an increased abundance of Actinobacteria including the probiotic Bifidobacterium, and a decreased proportion of Fusobacteria. The gut SIgA level was lower in the pinworminfected group, and was increased in half of the individuals after mebendazole deworming treatment.
Layer-adaptive mode decision and motion search for scalable video coding with combined coarse granular scalability (CGS) and temporal scalability
(2007)
Lin, Hung-Chih
;
Peng, Wen-Hsiao
;
Hang, Hsueh-Ming
;
Ho, Wen-Jen
;
電子工程學系及電子研究所
In this paper, we propose a layer-adaptive mode decision algorithm and a motion search scheme for the scalable video coding (SVC) with combined coarse granular scalability (CGS) and temporal scalability. To speed up the encoder while minimizing the loss in coding efficiency, our layer-adaptive mode decision recursively refers to the prediction modes and quantization parameter of the reference/base layer to minimize the number of modes tested at the enhancement layer. Moreover, our motion search scheme adaptively reuses the reference frame indices of the base layer and determines the initial search point using the motion vector at the base layer or the motion vector predictor at the enhancement layer. As compared with JSVM 8, the proposed algorithms provide up to 75% overall time saving and more than 85% time reduction for encoding enhancement layers with negligible loss in coding efficiency.