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2017 International Conference on Systems, Signals and Image Processing (IWSSIP)最新文献

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Reinforcement learning for video encoder control in HEVC HEVC中视频编码器控制的强化学习
2017 International Conference on Systems, Signals and Image Processing (IWSSIP) Pub Date : 2017-05-22 DOI: 10.1109/IWSSIP.2017.7965586
Philipp Helle, H. Schwarz, T. Wiegand, K. Müller
{"title":"Reinforcement learning for video encoder control in HEVC","authors":"Philipp Helle, H. Schwarz, T. Wiegand, K. Müller","doi":"10.1109/IWSSIP.2017.7965586","DOIUrl":"https://doi.org/10.1109/IWSSIP.2017.7965586","url":null,"abstract":"In todays video compression systems, the encoder typically follows an optimization procedure to find a compressed representation of the video signal. While primary optimization criteria are bit rate and image distortion, low complexity of this procedure may also be of importance in some applications, making complexity a third objective. We approach this problem by treating the encoding procedure as a decision process in time and make it amenable to reinforcement learning. Our learning algorithm computes a strategy in a compact functional representation, which is then employed in the video encoder to control its search. By including measured execution time into the reinforcement signal with a lagrangian weight, we realize a trade-off between RD-performance and computational complexity controlled by a single parameter. Using the reference software test model (HM) of the HEVC video coding standard, we show that over half the encoding time can be saved at the same RD-performance.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"425 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127604566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
Software and hardware HEVC encoding 软件和硬件的HEVC编码
2017 International Conference on Systems, Signals and Image Processing (IWSSIP) Pub Date : 2017-05-22 DOI: 10.1109/IWSSIP.2017.7965585
Jan Kufa, T. Kratochvil
{"title":"Software and hardware HEVC encoding","authors":"Jan Kufa, T. Kratochvil","doi":"10.1109/IWSSIP.2017.7965585","DOIUrl":"https://doi.org/10.1109/IWSSIP.2017.7965585","url":null,"abstract":"In comparison with older standards, High Efficiency Video Coding (HEVC) significantly improves coding efficiency. At the same time, it increases computational complexity of coding and therefore encoding takes a longer time. In this paper, the usage of different implementations of HEVC is proposed where some of them can take advantage of a multicore Central Processing Unit (CPU). The others are accelerated by using a Video Engine (VE) in the Graphics Processing Unit (GPU). In the paper, different predefined quality presets are also used which set the balance between the video quality and encoding speed. Another aspect was to compare power consumption and utilization of components in a Personal Computer (PC) depending on different HEVC implementations. Research has been carried out for both resolutions, Full HD and Ultra HD. Our experimental results show that hardware-accelerated encoding can encode video that consumes less CPU time, with only small impact on video quality.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"65 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131514134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Efficient frame-compatible stereoscopic video coding using HEVC screen content coding 高效帧兼容立体视频编码使用HEVC屏幕内容编码
2017 International Conference on Systems, Signals and Image Processing (IWSSIP) Pub Date : 2017-05-22 DOI: 10.1109/IWSSIP.2017.7965587
Jarosław Samelak, J. Stankowski, M. Domański
{"title":"Efficient frame-compatible stereoscopic video coding using HEVC screen content coding","authors":"Jarosław Samelak, J. Stankowski, M. Domański","doi":"10.1109/IWSSIP.2017.7965587","DOIUrl":"https://doi.org/10.1109/IWSSIP.2017.7965587","url":null,"abstract":"The paper presents application of the emerging HEVC Screen Content Coding for frame-compatible compression of stereoscopic video. Such a solution may be an alternative to the Multiview HEVC, which is the state-of-the-art dedicated technique for multiview video compression. The paper provides an extensive description of main differences between both compression techniques. Authors also present adaptation of the Screen Content Coding to compress stereoscopic video as fast and efficiently as possible. The paper reports experimental results of the comparison between HEVC Screen Content Coding and Main profiles for frame-compatible compression of stereoscopic video. The advantages and disadvantages of the proposed technique are enumerated in the conclusions.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124544629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
Ensemble of CNN and rich model for steganalysis CNN集成和丰富的隐写分析模型
2017 International Conference on Systems, Signals and Image Processing (IWSSIP) Pub Date : 2017-05-22 DOI: 10.1109/IWSSIP.2017.7965617
Kai Liu, Jianhua Yang, Xiangui Kang
{"title":"Ensemble of CNN and rich model for steganalysis","authors":"Kai Liu, Jianhua Yang, Xiangui Kang","doi":"10.1109/IWSSIP.2017.7965617","DOIUrl":"https://doi.org/10.1109/IWSSIP.2017.7965617","url":null,"abstract":"Recent studies have indicated that well-designed convolutional neural network (CNN) has achieved comparable performance to the spatial rich models with ensemble classifier (SRM-EC) in digital image steganalysis. In this paper, we discuss the difference and correlation between a CNN model and a SRM-EC model, and explore the classification error rate varying with texture complexity of an image for both models. Then we propose an ensemble method to combine CNN with SRM-EC by averaging their output classification probability. Compared with the state-of-the-art performance of spatial steganalysis achieved by maxSRMdZ, which is the latest variant of SRM-EC, experimental result shows that the proposed ensemble method furtherly improves the accuracy by nearly 2% in detecting S-UNIWARD and WOW on BOSSbase.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132669287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
Temporal enhancement of graph-based depth estimation method 基于时间增强图的深度估计方法
2017 International Conference on Systems, Signals and Image Processing (IWSSIP) Pub Date : 2017-05-01 DOI: 10.1109/IWSSIP.2017.7965572
Dawid Mieloch, A. Dziembowski, Adam Grzelka, O. Stankiewicz, M. Domański
{"title":"Temporal enhancement of graph-based depth estimation method","authors":"Dawid Mieloch, A. Dziembowski, Adam Grzelka, O. Stankiewicz, M. Domański","doi":"10.1109/IWSSIP.2017.7965572","DOIUrl":"https://doi.org/10.1109/IWSSIP.2017.7965572","url":null,"abstract":"This paper presents the temporal enhancement of the graph-based depth estimation method, designed for multiview systems with arbitrarily located cameras. The primary goal of the proposed enhancement is to increase the quality of estimated depth maps and simultaneously decrease the time of estimation. The method consists of two stages: the temporal enhancement of segmentation required in used depth estimation method, and the exploitation of depth information from the previous frame in the energy function minimization. Performed experiments show that for all tested sequences the quality of estimated depth maps was increased. Even if only one cycle of optimization is used in proposed method, the quality is higher than for unmodified method, apart from number of cycles. Therefore, use of proposed enhancement allows estimating depth of better quality even with 40% reduction of estimation time.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127205392","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
On using of physical layer parameters of xDSL transceivers for troubleshooting 利用xDSL收发器物理层参数进行故障排除
2017 International Conference on Systems, Signals and Image Processing (IWSSIP) Pub Date : 2017-05-01 DOI: 10.1109/IWSSIP.2017.7965595
N. Skaljo, A. Begovic, E. Turajlić, N. Behlilovic
{"title":"On using of physical layer parameters of xDSL transceivers for troubleshooting","authors":"N. Skaljo, A. Begovic, E. Turajlić, N. Behlilovic","doi":"10.1109/IWSSIP.2017.7965595","DOIUrl":"https://doi.org/10.1109/IWSSIP.2017.7965595","url":null,"abstract":"This paper shows a review investigation the possibility of increasing the efficiency of existing line test solutions for troubleshooting IPTV over xDSL, by the results of experimental research on real system under commercial exploitation. At the beginning of this paper the main weaknesses of the existing troubleshooting testing are described. In the rest of the paper the parameters of the physical layer of xDSL transceiver are listed, followed by analysis how they can be used for the purposes of more efficient measurement of parameters of copper pairs.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127382675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Spoken language clustering in the i-vectors space i向量空间中的口语聚类
2017 International Conference on Systems, Signals and Image Processing (IWSSIP) Pub Date : 2017-05-01 DOI: 10.1109/IWSSIP.2017.7965607
Stanisław Kacprzak
{"title":"Spoken language clustering in the i-vectors space","authors":"Stanisław Kacprzak","doi":"10.1109/IWSSIP.2017.7965607","DOIUrl":"https://doi.org/10.1109/IWSSIP.2017.7965607","url":null,"abstract":"This paper presents the results of language clustering in the i-vectors space, a method to determine in an unsupervised manner how many languages are in a data set and which recordings contain the same language. The most dense i-vectors clusters are found using the DBSCAN algorithm in a low dimensional space obtained by the t-SNE method. Quality of clustering for spherical k-means and the proposed method are tested with the data from NIST 2015 i-Vector Challenge. Usefulness of obtained clustering is tested in the challenge evaluation system. The results demonstrate that the proposed method allows to find 109 dense clusters with low impurity for 50 target languages.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122415892","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Efficient Schur parametrization of near-stationary stochastic processes 近平稳随机过程的有效Schur参数化
2017 International Conference on Systems, Signals and Image Processing (IWSSIP) Pub Date : 2017-05-01 DOI: 10.1109/IWSSIP.2017.7965581
Agnieszka Wielgus, J. Zarzycki
{"title":"Efficient Schur parametrization of near-stationary stochastic processes","authors":"Agnieszka Wielgus, J. Zarzycki","doi":"10.1109/IWSSIP.2017.7965581","DOIUrl":"https://doi.org/10.1109/IWSSIP.2017.7965581","url":null,"abstract":"We present efficient Schur parametrization algorithms for a subclass of near-stationary second-order stochastic processes which we call p-stationary processes. This approach allows for complexity reduction of the general linear Schur algorithm in a uniform way and results in a hierachical class of the algorithms, suitable for efficient implementations, being a good starting point for nonlinear generalizations.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"194 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117084483","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
An approach to image segmentation based on shortest paths in graphs 基于图中最短路径的图像分割方法
2017 International Conference on Systems, Signals and Image Processing (IWSSIP) Pub Date : 2017-05-01 DOI: 10.1109/IWSSIP.2017.7965600
Andrzej Brzoza, G. Muszynski
{"title":"An approach to image segmentation based on shortest paths in graphs","authors":"Andrzej Brzoza, G. Muszynski","doi":"10.1109/IWSSIP.2017.7965600","DOIUrl":"https://doi.org/10.1109/IWSSIP.2017.7965600","url":null,"abstract":"Segmentation task plays an important role in image processing. In this paper, we attempt to extract information from images using texture analysis. Moreover, we propose characterization of pixels in images to define the similarity relation between them. These are based on textural information and findings of shortest paths in the graph representation of images. To reflect effectiveness of our method, we apply it to the benchmark Berkeley image database and we compare it to well-established image segmentation methods (sum and difference histograms for texture classification method, Mean-Shift method and mixture of Gaussian distributions method). The proposed approach achieves the best segmentation results measured by distance-based metrics. The experimental results show that our approach is efficient method for texture analysis and image segmentation.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129261093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Fast HEVC intra coding decision based on statistical cost and corner detection 基于统计代价和角点检测的HEVC快速编码决策
2017 International Conference on Systems, Signals and Image Processing (IWSSIP) Pub Date : 2017-05-01 DOI: 10.1109/IWSSIP.2017.7965584
Biao Min, Zhe Xu, R. Cheung
{"title":"Fast HEVC intra coding decision based on statistical cost and corner detection","authors":"Biao Min, Zhe Xu, R. Cheung","doi":"10.1109/IWSSIP.2017.7965584","DOIUrl":"https://doi.org/10.1109/IWSSIP.2017.7965584","url":null,"abstract":"As the successor of H.264, High Efficient Video Coding (HEVC) standard includes various novel techniques, including Coding Tree Unit (CTU) structure and additional angular modes used in intra coding. These new techniques promote the coding efficiency on one hand, while increasing the computational complexity significantly on the other hand. In this paper, we propose a fast intra block partitioning algorithm for HEVC to reduce the coding complexity, based on the statistical cost and corner detection algorithm. A block is considered as a multiple gradients region which will be split into multiple small ones, as the corner points are detected inside the block. A block without corner points existing is treated as being non-split when its RD cost is small according the statistics of the previous frames. The proposed fast algorithm achieves nearly 63% encoding time reduction with 3.42%, 2.80%, and 2.53% BD-Rate loss for Y, U, and V components, averagely. The experimental results show that the proposed method is efficient to fast decide the block partitioning in intra coding of HEVC, even though only static parameters are applied to all test sequences.","PeriodicalId":302860,"journal":{"name":"2017 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114856002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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