The Experts below are selected from a list of 8745 Experts worldwide ranked by ideXlab platform
Jani Lainema - One of the best experts on this subject based on the ideXlab platform.
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motion compensated prediction and Interpolation Filter design in h 265 hevc
IEEE Journal of Selected Topics in Signal Processing, 2013Co-Authors: Kemal Ugur, Alexander Alshin, Elena Alshina, Jeong-hoon Park, Woo-jin Han, Frank Jan Bossen, Jani LainemaAbstract:Coding efficiency gains in the new High Efficiency Video Coding (H.265/HEVC) video coding standard are achieved by improving many aspects of the traditional hybrid coding framework. Motion compensated prediction, and in particular the Interpolation Filter, is one area that was improved significantly over H.264/AVC. This paper presents the details of the Interpolation Filter design of the H.265/HEVC standard. First, the improvements of H.265/HEVC Interpolation Filtering over H.264/AVC are presented. These improvements include novel Filter coefficient design with an increased number of taps and utilizing higher precision operations in Interpolation Filter computations. Then, the computational complexity is analyzed, both from theoretical and practical perspectives. Theoretical complexity analysis is done by studying the worst-case complexity analytically, whereas practical analysis is done by profiling an optimized decoder implementation. Coding efficiency improvements over the H.264/AVC Interpolation Filter are studied and experimental results are presented. They show a 4.0% average bitrate reduction for the luma component and 11.3% average bitrate reduction for the chroma components. The coding efficiency gains are significant for some video sequences and can reach up to 21.7%.
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Interpolation Filter design in hevc and its coding efficiency complexity analysis
International Conference on Acoustics Speech and Signal Processing, 2013Co-Authors: Kemal Ugur, Alexander Alshin, Elena Alshina, Jeong-hoon Park, Woo-jin Han, Frank Jan Bossen, Jani LainemaAbstract:Coding efficiency gains in the High Efficiency Video Coding (H.265/HEVC) standard are achieved by improving many aspects of the traditional hybrid coding framework. Motion compensated prediction, and in particular the Interpolation Filter, is one of the areas that was improved significantly over H.264/AVC. This paper presents the details of the motion compensation Interpolation Filter design of the H.265/HEVC standard and its improvements over the Interpolation Filter design of H.264/AVC. These improvements include discrete cosine transform based Filter coefficient design, utilizing longer Filter taps for luma and chroma Interpolation and using higher precision operations in the intermediate computations. The computational complexity of HEVC Interpolation Filter is also analyzed both from theoretical and practical perspectives. Experimental results show that a 4.5% average bitrate reduction for the luma component and 13.0% average bitrate reduction for the chroma components are achieved compared to Interpolation Filter of H.264/AVC. The coding efficiency gains are significant for some video sequences and can reach up to 21.7%.
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ICASSP - Interpolation Filter design in HEVC and its coding efficiency - complexity analysis
2013 IEEE International Conference on Acoustics Speech and Signal Processing, 2013Co-Authors: Kemal Ugur, Alexander Alshin, Elena Alshina, Jeong-hoon Park, Woo-jin Han, Frank Jan Bossen, Jani LainemaAbstract:Coding efficiency gains in the High Efficiency Video Coding (H.265/HEVC) standard are achieved by improving many aspects of the traditional hybrid coding framework. Motion compensated prediction, and in particular the Interpolation Filter, is one of the areas that was improved significantly over H.264/AVC. This paper presents the details of the motion compensation Interpolation Filter design of the H.265/HEVC standard and its improvements over the Interpolation Filter design of H.264/AVC. These improvements include discrete cosine transform based Filter coefficient design, utilizing longer Filter taps for luma and chroma Interpolation and using higher precision operations in the intermediate computations. The computational complexity of HEVC Interpolation Filter is also analyzed both from theoretical and practical perspectives. Experimental results show that a 4.5% average bitrate reduction for the luma component and 13.0% average bitrate reduction for the chroma components are achieved compared to Interpolation Filter of H.264/AVC. The coding efficiency gains are significant for some video sequences and can reach up to 21.7%.
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Motion Compensated Prediction and Interpolation Filter Design in H.265/HEVC
IEEE Journal of Selected Topics in Signal Processing, 2013Co-Authors: Kemal Ugur, Alexander Alshin, Elena Alshina, Jeong-hoon Park, Woo-jin Han, Frank Jan Bossen, Jani LainemaAbstract:Coding efficiency gains in the new High Efficiency Video Coding (H.265/HEVC) video coding standard are achieved by improving many aspects of the traditional hybrid coding framework. Motion compensated prediction, and in particular the Interpolation Filter, is one area that was improved significantly over H.264/AVC. This paper presents the details of the Interpolation Filter design of the H.265/HEVC standard. First, the improvements of H.265/HEVC Interpolation Filtering over H.264/AVC are presented. These improvements include novel Filter coefficient design with an increased number of taps and utilizing higher precision operations in Interpolation Filter computations. Then, the computational complexity is analyzed, both from theoretical and practical perspectives. Theoretical complexity analysis is done by studying the worst-case complexity analytically, whereas practical analysis is done by profiling an optimized decoder implementation. Coding efficiency improvements over the H.264/AVC Interpolation Filter are studied and experimental results are presented. They show a 4.0% average bitrate reduction for the luma component and 11.3% average bitrate reduction for the chroma components. The coding efficiency gains are significant for some video sequences and can reach up to 21.7%.
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video coding with low complexity directional adaptive Interpolation Filters
IEEE Transactions on Circuits and Systems for Video Technology, 2009Co-Authors: Dmytro Rusanovskyy, Kemal Ugur, Jani Lainema, Antti Hallapuro, Moncef GabboujAbstract:A novel adaptive Interpolation Filter structure for video coding with motion-compensated prediction is presented in this letter. The proposed scheme uses an independent directional adaptive Interpolation Filter for each sub-pixel location. The Wiener Interpolation Filter coefficients are computed analytically for each inter-coded frame at the encoder side and transmitted to the decoder. Experimental results show that the proposed method achieves up to 1.1 dB coding gain and a 15% average bit-rate reduction for high-resolution video materials compared to the standard nonadaptive Interpolation scheme of H.264/AVC, while requiring 36% fewer arithmetic operations for Interpolation. The proposed Interpolation can be implemented in exactly 16-bit arithmetic, thus it can have important use-cases in mobile multimedia environments where the computational resources are severely constrained.
Xiaocong Lian - One of the best experts on this subject based on the ideXlab platform.
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An efficient Interpolation Filter VLSI architecture for HEVC standard
EURASIP Journal on Advances in Signal Processing, 2015Co-Authors: Wei Zhou, Xin Zhou, Xiaocong Lian, Zhenyu Liu, Xiaoxiang LiuAbstract:The next-generation video coding standard of High-Efficiency Video Coding (HEVC) is especially efficient for coding high-resolution video such as 8K-ultra-high-definition (UHD) video. Fractional motion estimation in HEVC presents a significant challenge in clock latency and area cost as it consumes more than 40 % of the total encoding time and thus results in high computational complexity. With aims at supporting 8K-UHD video applications, an efficient Interpolation Filter VLSI architecture for HEVC is proposed in this paper. Firstly, a new Interpolation Filter algorithm based on the 8-pixel Interpolation unit is proposed in this paper. It can save 19.7 % processing time on average with acceptable coding quality degradation. Based on the proposed algorithm, an efficient Interpolation Filter VLSI architecture, composed of a reused data path of Interpolation, an efficient memory organization, and a reconfigurable pipeline Interpolation Filter engine, is presented to reduce the implement hardware area and achieve high throughput. The final VLSI implementation only requires 37.2k gates in a standard 90-nm CMOS technology at an operating frequency of 240 MHz. The proposed architecture can be reused for either half-pixel Interpolation or quarter-pixel Interpolation, which can reduce the area cost for about 131,040 bits RAM. The processing latency of our proposed VLSI architecture can support the real-time processing of 4:2:0 format 7680 × 4320@78fps video sequences.
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An efficient Interpolation Filter VLSI architecture for HEVC
2015 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2015Co-Authors: Wei Zhou, Xin Zhou, Xiaocong LianAbstract:Firstly, an implementation-friendly Interpolation Filter algorithm is proposed in this paper. It can save 19.6% processing time on average with negligible coding quality degradation. Then based on the proposed algorithm, an optimized Interpolation Filter VLSI architecture, composed of the reused data path of Interpolation, efficient memory organization and the pipeline Interpolation Filter engine is presented to reduce the implement hardware area. The resulting design can achieve 240 MHz with only 37.2K gate count and support real-time Interpolation Filter operation of 3840×2160@47fps video application by using 90nm CMOS technology.
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ICASSP - An efficient Interpolation Filter VLSI architecture for HEVC
2015 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2015Co-Authors: Wei Zhou, Xin Zhou, Xiaocong LianAbstract:Firstly, an implementation-friendly Interpolation Filter algorithm is proposed in this paper. It can save 19.6% processing time on average with negligible coding quality degradation. Then based on the proposed algorithm, an optimized Interpolation Filter VLSI architecture, composed of the reused data path of Interpolation, efficient memory organization and the pipeline Interpolation Filter engine is presented to reduce the implement hardware area. The resulting design can achieve 240 MHz with only 37.2K gate count and support real-time Interpolation Filter operation of 3840×2160@47fps video application by using 90nm CMOS technology.
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ChinaSIP - An efficient Interpolation Filter VLSI architecture for HEVC standard
2014 IEEE China Summit & International Conference on Signal and Information Processing (ChinaSIP), 2014Co-Authors: Xiaocong Lian, Wei Zhou, Zhemin DuanAbstract:The next-generation video coding standard of High-Efficiency Video Coding (HEVC) is especially efficient for coding high-resolution video such as 8K-ultra-high-definition (UHD) video. Fractional motion estimation in HEVC presents a significant challenge in clock latency and area cost as it consumes more than 40 % of the total encoding time and thus results in high computational complexity. With aims at supporting 8K-UHD video applications, an efficient Interpolation Filter VLSI architecture for HEVC is proposed in this paper. Firstly, a new Interpolation Filter algorithm based on the 8-pixel Interpolation unit is proposed in this paper. It can save 19.7 % processing time on average with acceptable coding quality degradation. Based on the proposed algorithm, an efficient Interpolation Filter VLSI architecture, composed of a reused data path of Interpolation, an efficient memory organization, and a reconfigurable pipeline Interpolation Filter engine, is presented to reduce the implement hardware area and achieve high throughput. The final VLSI implementation only requires 37.2k gates in a standard 90-nm CMOS technology at an operating frequency of 240 MHz. The proposed architecture can be reused for either half-pixel Interpolation or quarter-pixel Interpolation, which can reduce the area cost for about 131,040 bits RAM. The processing latency of our proposed VLSI architecture can support the real-time processing of 4:2:0 format 7680×4320@78fps video sequences.
Kemal Ugur - One of the best experts on this subject based on the ideXlab platform.
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motion compensated prediction and Interpolation Filter design in h 265 hevc
IEEE Journal of Selected Topics in Signal Processing, 2013Co-Authors: Kemal Ugur, Alexander Alshin, Elena Alshina, Jeong-hoon Park, Woo-jin Han, Frank Jan Bossen, Jani LainemaAbstract:Coding efficiency gains in the new High Efficiency Video Coding (H.265/HEVC) video coding standard are achieved by improving many aspects of the traditional hybrid coding framework. Motion compensated prediction, and in particular the Interpolation Filter, is one area that was improved significantly over H.264/AVC. This paper presents the details of the Interpolation Filter design of the H.265/HEVC standard. First, the improvements of H.265/HEVC Interpolation Filtering over H.264/AVC are presented. These improvements include novel Filter coefficient design with an increased number of taps and utilizing higher precision operations in Interpolation Filter computations. Then, the computational complexity is analyzed, both from theoretical and practical perspectives. Theoretical complexity analysis is done by studying the worst-case complexity analytically, whereas practical analysis is done by profiling an optimized decoder implementation. Coding efficiency improvements over the H.264/AVC Interpolation Filter are studied and experimental results are presented. They show a 4.0% average bitrate reduction for the luma component and 11.3% average bitrate reduction for the chroma components. The coding efficiency gains are significant for some video sequences and can reach up to 21.7%.
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Interpolation Filter design in hevc and its coding efficiency complexity analysis
International Conference on Acoustics Speech and Signal Processing, 2013Co-Authors: Kemal Ugur, Alexander Alshin, Elena Alshina, Jeong-hoon Park, Woo-jin Han, Frank Jan Bossen, Jani LainemaAbstract:Coding efficiency gains in the High Efficiency Video Coding (H.265/HEVC) standard are achieved by improving many aspects of the traditional hybrid coding framework. Motion compensated prediction, and in particular the Interpolation Filter, is one of the areas that was improved significantly over H.264/AVC. This paper presents the details of the motion compensation Interpolation Filter design of the H.265/HEVC standard and its improvements over the Interpolation Filter design of H.264/AVC. These improvements include discrete cosine transform based Filter coefficient design, utilizing longer Filter taps for luma and chroma Interpolation and using higher precision operations in the intermediate computations. The computational complexity of HEVC Interpolation Filter is also analyzed both from theoretical and practical perspectives. Experimental results show that a 4.5% average bitrate reduction for the luma component and 13.0% average bitrate reduction for the chroma components are achieved compared to Interpolation Filter of H.264/AVC. The coding efficiency gains are significant for some video sequences and can reach up to 21.7%.
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ICASSP - Interpolation Filter design in HEVC and its coding efficiency - complexity analysis
2013 IEEE International Conference on Acoustics Speech and Signal Processing, 2013Co-Authors: Kemal Ugur, Alexander Alshin, Elena Alshina, Jeong-hoon Park, Woo-jin Han, Frank Jan Bossen, Jani LainemaAbstract:Coding efficiency gains in the High Efficiency Video Coding (H.265/HEVC) standard are achieved by improving many aspects of the traditional hybrid coding framework. Motion compensated prediction, and in particular the Interpolation Filter, is one of the areas that was improved significantly over H.264/AVC. This paper presents the details of the motion compensation Interpolation Filter design of the H.265/HEVC standard and its improvements over the Interpolation Filter design of H.264/AVC. These improvements include discrete cosine transform based Filter coefficient design, utilizing longer Filter taps for luma and chroma Interpolation and using higher precision operations in the intermediate computations. The computational complexity of HEVC Interpolation Filter is also analyzed both from theoretical and practical perspectives. Experimental results show that a 4.5% average bitrate reduction for the luma component and 13.0% average bitrate reduction for the chroma components are achieved compared to Interpolation Filter of H.264/AVC. The coding efficiency gains are significant for some video sequences and can reach up to 21.7%.
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Motion Compensated Prediction and Interpolation Filter Design in H.265/HEVC
IEEE Journal of Selected Topics in Signal Processing, 2013Co-Authors: Kemal Ugur, Alexander Alshin, Elena Alshina, Jeong-hoon Park, Woo-jin Han, Frank Jan Bossen, Jani LainemaAbstract:Coding efficiency gains in the new High Efficiency Video Coding (H.265/HEVC) video coding standard are achieved by improving many aspects of the traditional hybrid coding framework. Motion compensated prediction, and in particular the Interpolation Filter, is one area that was improved significantly over H.264/AVC. This paper presents the details of the Interpolation Filter design of the H.265/HEVC standard. First, the improvements of H.265/HEVC Interpolation Filtering over H.264/AVC are presented. These improvements include novel Filter coefficient design with an increased number of taps and utilizing higher precision operations in Interpolation Filter computations. Then, the computational complexity is analyzed, both from theoretical and practical perspectives. Theoretical complexity analysis is done by studying the worst-case complexity analytically, whereas practical analysis is done by profiling an optimized decoder implementation. Coding efficiency improvements over the H.264/AVC Interpolation Filter are studied and experimental results are presented. They show a 4.0% average bitrate reduction for the luma component and 11.3% average bitrate reduction for the chroma components. The coding efficiency gains are significant for some video sequences and can reach up to 21.7%.
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video coding with low complexity directional adaptive Interpolation Filters
IEEE Transactions on Circuits and Systems for Video Technology, 2009Co-Authors: Dmytro Rusanovskyy, Kemal Ugur, Jani Lainema, Antti Hallapuro, Moncef GabboujAbstract:A novel adaptive Interpolation Filter structure for video coding with motion-compensated prediction is presented in this letter. The proposed scheme uses an independent directional adaptive Interpolation Filter for each sub-pixel location. The Wiener Interpolation Filter coefficients are computed analytically for each inter-coded frame at the encoder side and transmitted to the decoder. Experimental results show that the proposed method achieves up to 1.1 dB coding gain and a 15% average bit-rate reduction for high-resolution video materials compared to the standard nonadaptive Interpolation scheme of H.264/AVC, while requiring 36% fewer arithmetic operations for Interpolation. The proposed Interpolation can be implemented in exactly 16-bit arithmetic, thus it can have important use-cases in mobile multimedia environments where the computational resources are severely constrained.
Ronggang Wang - One of the best experts on this subject based on the ideXlab platform.
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DSP - A Low Complexity and High Performance Interpolation Filter for MPEG IVC
2014 19th International Conference on Digital Signal Processing, 2014Co-Authors: Ronggang Wang, Huizhu Jia, Xiaodong Xie, Yangang Cai, Wen GaoAbstract:Fractional-pel motion compensation is widely adopted in the modern video coding standards such as H.264/AVC, AVS, and HEVC etc. The Interpolation Filter is a critical factor that influences the coding efficiency. In this paper, a generation algorithm of Interpolation Filter coefficients is utilized. Based on the coefficients generation algorithm, three different tap Filters, namely 6 tap, 8 tap, 10tap, are tested. A combination of 6 tap and 8 tap Interpolation Filters is proposed and proved to be optimal scheme considering both performance and computational complexity. And it is beneficial to make software optimization more effective, especially when SIMD-like (Single Instruction Multiple Data) operation is used. Experiments show that the average BD-rate gains on luma Y, chroma U and V are 8.01%, 5.08% and 4.98% for CS1 (Constraint set 1), and 9.21%, 7.53% and 7.63% for CS2 (Constraint set 2) in MPEG IVC reference software ITM5.0, compared with the traditional IVC Interpolation method. The coding efficiency gains are significant for some video sequences and can reach up to 28.7%. With the merits of high performance and low complexity, our proposed method is formally adopted by MPEG IVC.
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ISCAS - A resolution-adaptive Interpolation Filter for video codec
2014 IEEE International Symposium on Circuits and Systems (ISCAS), 2014Co-Authors: Ronggang Wang, Chuang Zhu, Huizhu Jia, Xiaodong Xie, Wen GaoAbstract:The fraction-pel Interpolation Filter varies in the video coding standards such as H.264/AVC, AVS and HEVC. Since fractional-pel motion compensation plays an important role in the video encoder, the Interpolation of fractional-pel pixels can be refined and designed better to enhance the coding efficiency. In this paper, we firstly propose the generation algorithm of Interpolation Filter coefficients, and four different tap Filters, namely 4tap, 6 tap, 8 tap and 10tap, are tested. A resolution-adaptive Interpolation Filter for different resolution videos is then introduced based on this algorithm to achieve the maximum bitrate saving. In the proposed scheme, 4 tap Filter is applied for the UHD (2560×1600 and above) videos, 6 tap Filter and 10 tap Filter are performed in the videos whose resolution ranging from 720P (1280×720) to 1080P (1920×1080) and the videos with the resolution below 720P, respectively. When 4 tap Filter and 6 tap Filter are used in high-definition video, the coding efficiency can increase and the computational complexity will reduce greatly, which is actually beneficial to make hardware optimization more effectively especially SIMD (Single Instruction Multiple Data) and VLSI design. Experiments show that the average BD-rate gains on luma Y, chroma U and V are 1.4%, 0.7% and 0.7% for LP-Main configuration, when conducted in HEVC reference software HM11.0. The coding efficiency gains are significant for some video sequences and can reach up to 6.1%.
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ICME - Partition-level adaptive Interpolation Filter for video coding
2009 IEEE International Conference on Multimedia and Expo, 2009Co-Authors: Ronggang Wang, Yongbing Zhang, Yuan Dong, Haila WangAbstract:A partition-level adaptive sub-pixel Interpolation Filter method for video coding is proposed in this paper. Various type of Interpolation Filters are exploited to compensate the limited motion accuracy represented by motion vector or improve Interpolation performance of directional textures inconsistent with motion direction, an optimal Filter is selected as sub-pixel Interpolation Filter for each macroblock partition by the principle of Rate Distortion Optimization. The method is implemented in AVS reference software, experimental results show that by utilizing this method, the compression performance is improved up to 0.5dB, and the decoding complexity of motion compensation is decreased up to 20%.
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sub pixel motion compensation Interpolation Filter in avs
International Conference on Multimedia and Expo, 2004Co-Authors: Ronggang Wang, Chao Huang, Yanfei ShenAbstract:In order to reduce the bit rate of video signals, motion compensation prediction is applied in modern video coding technology. This is a form of temporal redundancy reduction in which the current coding frame is predicted by a motion compensated prediction from some other already decoded frames according to motion vector. As real motion has arbitrary precision, many video coding standards allow motion vectors to have “sub-pixel” resolution. The U4-pel displucement vector resolution is U part of AVS(Audio Video system). In order to estimate and compensate 1/4pel displacements. the image signal on sub-pel position has to be generated by Interpolation. This paper introduces CJ new 1/4-pel Interpolation method named as Two Steps Four Taps Interpolation(TSFT), compared with 1/4-pel Interpolation method of H.264, 1 I% spatial complexiQ is reduced, computation complexity is about the same, and a little more average SNR is gained.
Ngi Ngan - One of the best experts on this subject based on the ideXlab platform.
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ISCAS - Adaptive pre-Interpolation Filter for motion-compensated prediction
2011 IEEE International Symposium of Circuits and Systems (ISCAS), 2011Co-Authors: Jie Dong, Ngi NganAbstract:1 The proposed Interpolation Filter comprises two concatenating Filters, adaptive pre-Interpolation Filter (APIF) and the normative Interpolation Filter in H.264/AVC. The former is applied only to the integer pixels in the reference frames; the latter generates all the sub-position samples, supported by the output of APIF. The convolution of APIF and the standard Filter minimizes the motion prediction error on a frame basis. APIF preserves the merits of the adaptive Interpolation Filter (AIF) and the adaptive loop Filter (ALF) in the key technical area (KTA) software and overcomes their drawbacks. The experimental results show that APIF has comparable or even better performance compared with the joint use of AIF and ALF.
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Adaptive pre-Interpolation Filter for high efficiency video coding
Journal of Visual Communication and Image Representation, 2011Co-Authors: Jie Dong, Ngi NganAbstract:The proposed Interpolation Filter comprises two concatenating Filters, adaptive pre-Interpolation Filter (APIF) and the normative Interpolation Filter in H.264/AVC. The former is applied only to the integer pixels in the reference frames; the latter generates all the sub-position samples, supported by the output of APIF. The convolution of APIF and the standard Filter minimizes the motion prediction error on a frame basis. APIF preserves the merits of the adaptive Interpolation Filter (AIF) and the adaptive loop Filter (ALF) in the key technical area (KTA) software and at the same time overcomes their drawbacks. The experimental results show that APIF outperforms either AIF or ALF. Compared with the joint use of AIF and ALF, APIF provides comparable performance, but has much lower complexity.
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Parametric Interpolation Filter for HD Video Coding
IEEE Transactions on Circuits and Systems for Video Technology, 2010Co-Authors: Jie Dong, Ngi NganAbstract:Recently, adaptive Interpolation Filter (AIF) for motion-compensated prediction (MCP) has received increasing attention. This letter studies the existing AIF techniques, and points out that making tradeoff between the two conflicting aspects: the accuracy of coefficients and the size of side information, is the major obstacle to improving the performance of the AIF techniques that code the Filter coefficients individually. To overcome this obstacle, parametric Interpolation Filter (PIF) is proposed for MCP, which represents Interpolation Filters by a function determined by five parameters instead of by individual coefficients. The function is designed based on the fact that high frequency energies of HD video source are mainly distributed along the vertical and horizontal directions; the parameters are calculated to minimize the energy of prediction error. The experimental results show that PIF outperforms the existing AIF techniques and approaches the efficiency of the optimal Filter.
