Journal of Signal Processing Systems for Signal Image and Video Technology最新文献_第2页

Video Compression for Screen Recorded Sequences Following Eye Movements. 眼球运动后屏幕记录序列的视频压缩。

IF 1.8 4区计算机科学

Journal of Signal Processing Systems for Signal Image and Video Technology Pub Date : 2021-01-01 Epub Date: 2021-11-23 DOI: 10.1007/s11265-021-01719-2

Diego Jesus Serrano-Carrasco, Antonio Jesus Diaz-Honrubia, Pedro Cuenca

{"title":"Video Compression for Screen Recorded Sequences Following Eye Movements.","authors":"Diego Jesus Serrano-Carrasco, Antonio Jesus Diaz-Honrubia, Pedro Cuenca","doi":"10.1007/s11265-021-01719-2","DOIUrl":"https://doi.org/10.1007/s11265-021-01719-2","url":null,"abstract":"With the advent of smartphones and tablets, video traffic on the Internet has increased enormously. With this in mind, in 2013 the High Efficiency Video Coding (HEVC) standard was released with the aim of reducing the bit rate (at the same quality) by 50% with respect to its predecessor. However, new contents with greater resolutions and requirements appear every day, making it necessary to further reduce the bit rate. Perceptual video coding has recently been recognized as a promising approach to achieving high-performance video compression and eye tracking data can be used to create and verify these models. In this paper, we present a new algorithm for the bit rate reduction of screen recorded sequences based on the visual perception of videos. An eye tracking system is used during the recording to locate the fixation point of the viewer. Then, the area around that point is encoded with the base quantization parameter (QP) value, which increases when moving away from it. The results show that up to 31.3% of the bit rate may be saved when compared with the original HEVC-encoded sequence, without a significant impact on the perceived quality.","PeriodicalId":50050,"journal":{"name":"Journal of Signal Processing Systems for Signal Image and Video Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8610366/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"39673552","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Frame-based Programming, Stream-Based Processing for Medical Image Processing Applications. 基于帧的编程，基于流的医学图像处理应用。

IF 1.8 4区计算机科学

Journal of Signal Processing Systems for Signal Image and Video Technology Pub Date : 2019-01-01 Epub Date: 2019-01-04 DOI: 10.1007/s11265-018-1422-3

Joost Hoozemans, Rob de Jong, Steven van der Vlugt, Jeroen Van Straten, Uttam Kumar Elango, Zaid Al-Ars

引用次数: 5

Monotonic Optimization of Dataflow Buffer Sizes. 数据流缓冲区大小的单调优化。

IF 1.8 4区计算机科学

Journal of Signal Processing Systems for Signal Image and Video Technology Pub Date : 2019-01-01 Epub Date: 2018-10-23 DOI: 10.1007/s11265-018-1415-2

Martijn Hendriks, Hadi Alizadeh Ara, Marc Geilen, Twan Basten, Ruben Guerra Marin, Rob de Jong, Steven van der Vlugt

{"title":"Monotonic Optimization of Dataflow Buffer Sizes.","authors":"Martijn Hendriks, Hadi Alizadeh Ara, Marc Geilen, Twan Basten, Ruben Guerra Marin, Rob de Jong, Steven van der Vlugt","doi":"10.1007/s11265-018-1415-2","DOIUrl":"https://doi.org/10.1007/s11265-018-1415-2","url":null,"abstract":"Many high data-rate video-processing applications are subject to a trade-off between throughput and the sizes of buffers in the system (the storage distribution). These applications have strict requirements with respect to throughput as this directly relates to the functional correctness. Furthermore, the size of the storage distribution relates to resource usage which should be minimized in many practical cases. The computation kernels of high data-rate video-processing applications can often be specified by cyclo-static dataflow graphs. We therefore study the problem of minimization of the total (weighted) size of the storage distribution under a throughput constraint for cyclo-static dataflow graphs. By combining ideas from the area of monotonic optimization with the causal dependency analysis from a state-of-the-art storage optimization approach, we create an algorithm that scales better than the state-of-the-art approach. Our algorithm can provide a solution and a bound on the suboptimality of this solution at any time, and it iteratively improves this until the optimal solution is found. We evaluate our algorithm using several models from the literature, and on models of a high data-rate video-processing application from the healthcare domain. Our experiments show performance increases up to several orders of magnitude.","PeriodicalId":50050,"journal":{"name":"Journal of Signal Processing Systems for Signal Image and Video Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11265-018-1415-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37057758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

ALMARVI Execution Platform: Heterogeneous Video Processing SoC Platform on FPGA. ALMARVI执行平台:基于FPGA的异构视频处理SoC平台。

IF 1.8 4区计算机科学

Journal of Signal Processing Systems for Signal Image and Video Technology Pub Date : 2019-01-01 Epub Date: 2019-01-02 DOI: 10.1007/s11265-018-1424-1

Joost Hoozemans, Jeroen van Straten, Timo Viitanen, Aleksi Tervo, Jiri Kadlec, Zaid Al-Ars

引用次数: 6

Non-Uniform Microphone Arrays for Robust Speech Source Localization for Smartphone-Assisted Hearing Aid Devices. 智能手机辅助助听器语音源鲁棒定位的非均匀麦克风阵列。

IF 1.8 4区计算机科学

Journal of Signal Processing Systems for Signal Image and Video Technology Pub Date : 2018-10-01 Epub Date: 2017-11-09 DOI: 10.1007/s11265-017-1297-8

Anshuman Ganguly, Issa Panahi

{"title":"Non-Uniform Microphone Arrays for Robust Speech Source Localization for Smartphone-Assisted Hearing Aid Devices.","authors":"Anshuman Ganguly, Issa Panahi","doi":"10.1007/s11265-017-1297-8","DOIUrl":"https://doi.org/10.1007/s11265-017-1297-8","url":null,"abstract":"Robust speech source localization (SSL) is an important component of the speech processing pipeline for hearing aid devices (HADs). SSL via time direction of arrival (TDOA) estimation has been known to improve performance of HADs in noisy environments, thereby providing better listening experience for hearing aid users. Smartphones now possess the capability to connect to the HADs through wired or wireless channel. In this paper, we present our findings about the non-uniform non-linear microphone array (NUNLA) geometry for improving SSL for HADs using an L-shaped three-element microphone array available on modern smartphones. The proposed method is implemented on a frame-based TDOA estimation algorithm using a modified Dictionary-based singular value decomposition method (SVD) method for localizing single speech sources under very low signal to noise ratios (SNR). Unlike most methods developed for uniform microphone arrays, the proposed method has low spatial aliasing as well as low spatial ambiguity while providing a robust low-error with 360° DOA scanning capability. We present the comparison among different types of microphone arrays, as well as compare their performance using the proposed method.","PeriodicalId":50050,"journal":{"name":"Journal of Signal Processing Systems for Signal Image and Video Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11265-017-1297-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"36564393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Run-time Reconfigurable Acceleration for Genetic Programming Fitness Evaluation in Trading Strategies. 交易策略遗传规划适应度评价的运行时可重构加速。

IF 1.8 4区计算机科学

Journal of Signal Processing Systems for Signal Image and Video Technology Pub Date : 2018-01-01 Epub Date: 2017-05-08 DOI: 10.1007/s11265-017-1244-8

Andreea-Ingrid Funie, Paul Grigoras, Pavel Burovskiy, Wayne Luk, Mark Salmon

引用次数: 4

A Hybrid Task Graph Scheduler for High Performance Image Processing Workflows. 用于高性能图像处理工作流的混合任务图调度器。

IF 1.8 4区计算机科学

Journal of Signal Processing Systems for Signal Image and Video Technology Pub Date : 2017-12-01 Epub Date: 2017-07-19 DOI: 10.1007/s11265-017-1262-6

Timothy Blattner, Walid Keyrouz, Shuvra S Bhattacharyya, Milton Halem, Mary Brady

{"title":"A Hybrid Task Graph Scheduler for High Performance Image Processing Workflows.","authors":"Timothy Blattner, Walid Keyrouz, Shuvra S Bhattacharyya, Milton Halem, Mary Brady","doi":"10.1007/s11265-017-1262-6","DOIUrl":"https://doi.org/10.1007/s11265-017-1262-6","url":null,"abstract":"Designing applications for scalability is key to improving their performance in hybrid and cluster computing. Scheduling code to utilize parallelism is difficult, particularly when dealing with data dependencies, memory management, data motion, and processor occupancy. The Hybrid Task Graph Scheduler (HTGS) improves programmer productivity when implementing hybrid workflows for multi-core and multi-GPU systems. The Hybrid Task Graph Scheduler (HTGS) is an abstract execution model, framework, and API that increases programmer productivity when implementing hybrid workflows for such systems. HTGS manages dependencies between tasks, represents CPU and GPU memories independently, overlaps computations with disk I/O and memory transfers, keeps multiple GPUs occupied, and uses all available compute resources. Through these abstractions, data motion and memory are explicit; this makes data locality decisions more accessible. To demonstrate the HTGS application program interface (API), we present implementations of two example algorithms: (1) a matrix multiplication that shows how easily task graphs can be used; and (2) a hybrid implementation of microscopy image stitching that reduces code size by ≈ 43% compared to a manually coded hybrid workflow implementation and showcases the minimal overhead of task graphs in HTGS. Both of the HTGS-based implementations show good performance. In image stitching the HTGS implementation achieves similar performance to the hybrid workflow implementation. Matrix multiplication with HTGS achieves 1.3× and 1.8× speedup over the multi-threaded OpenBLAS library for 16k × 16k and 32k × 32k size matrices, respectively.","PeriodicalId":50050,"journal":{"name":"Journal of Signal Processing Systems for Signal Image and Video Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11265-017-1262-6","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35226253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

FPGA-Based Soft-Core Processors for Image Processing Applications. 图像处理应用的基于fpga的软核处理器。

IF 1.8 4区计算机科学

Journal of Signal Processing Systems for Signal Image and Video Technology Pub Date : 2017-01-01 Epub Date: 2016-10-10 DOI: 10.1007/s11265-016-1185-7

Moslem Amiri, Fahad Manzoor Siddiqui, Colm Kelly, Roger Woods, Karen Rafferty, Burak Bardak

{"title":"FPGA-Based Soft-Core Processors for Image Processing Applications.","authors":"Moslem Amiri, Fahad Manzoor Siddiqui, Colm Kelly, Roger Woods, Karen Rafferty, Burak Bardak","doi":"10.1007/s11265-016-1185-7","DOIUrl":"https://doi.org/10.1007/s11265-016-1185-7","url":null,"abstract":"With security and surveillance, there is an increasing need to process image data efficiently and effectively either at source or in a large data network. Whilst a Field-Programmable Gate Array has been seen as a key technology for enabling this, the design process has been viewed as problematic in terms of the time and effort needed for implementation and verification. The work here proposes a different approach of using optimized FPGA-based soft-core processors which allows the user to exploit the task and data level parallelism to achieve the quality of dedicated FPGA implementations whilst reducing design time. The paper also reports some preliminary progress on the design flow to program the structure. An implementation for a Histogram of Gradients algorithm is also reported which shows that a performance of 328 fps can be achieved with this design approach, whilst avoiding the long design time, verification and debugging steps associated with conventional FPGA implementations.","PeriodicalId":50050,"journal":{"name":"Journal of Signal Processing Systems for Signal Image and Video Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11265-016-1185-7","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37782990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 23

Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces. 扩展广义帕累托分布，实现高维空间中的新颖性检测

IF 1.8 4区计算机科学

Journal of Signal Processing Systems for Signal Image and Video Technology Pub Date : 2014-01-01 Epub Date: 2013-08-16 DOI: 10.1007/s11265-013-0835-2

David A Clifton, Lei Clifton, Samuel Hugueny, Lionel Tarassenko

{"title":"Extending the Generalised Pareto Distribution for Novelty Detection in High-Dimensional Spaces.","authors":"David A Clifton, Lei Clifton, Samuel Hugueny, Lionel Tarassenko","doi":"10.1007/s11265-013-0835-2","DOIUrl":"10.1007/s11265-013-0835-2","url":null,"abstract":"Novelty detection involves the construction of a \"model of normality\", and then classifies test data as being either \"normal\" or \"abnormal\" with respect to that model. For this reason, it is often termed one-class classification. The approach is suitable for cases in which examples of \"normal\" behaviour are commonly available, but in which cases of \"abnormal\" data are comparatively rare. When performing novelty detection, we are typically most interested in the tails of the normal model, because it is in these tails that a decision boundary between \"normal\" and \"abnormal\" areas of data space usually lies. Extreme value statistics provides an appropriate theoretical framework for modelling the tails of univariate (or low-dimensional) distributions, using the generalised Pareto distribution (GPD), which can be demonstrated to be the limiting distribution for data occurring within the tails of most practically-encountered probability distributions. This paper provides an extension of the GPD, allowing the modelling of probability distributions of arbitrarily high dimension, such as occurs when using complex, multimodel, multivariate distributions for performing novelty detection in most real-life cases. We demonstrate our extension to the GPD using examples from patient physiological monitoring, in which we have acquired data from hospital patients in large clinical studies of high-acuity wards, and in which we wish to determine \"abnormal\" patient data, such that early warning of patient physiological deterioration may be provided.","PeriodicalId":50050,"journal":{"name":"Journal of Signal Processing Systems for Signal Image and Video Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2014-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3963457/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"32220354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Fully Implantable, Programmable and Multimodal Neuroprocessor for Wireless, Cortically Controlled Brain-Machine Interface Applications. 一种完全可植入、可编程和多模态的神经处理器，用于无线、皮质控制的脑机接口应用。

IF 1.8 4区计算机科学

Journal of Signal Processing Systems for Signal Image and Video Technology Pub Date : 2012-12-01 Epub Date: 2011-06-15 DOI: 10.1007/s11265-012-0670-x

Fei Zhang, Mehdi Aghagolzadeh, Karim Oweiss

{"title":"A Fully Implantable, Programmable and Multimodal Neuroprocessor for Wireless, Cortically Controlled Brain-Machine Interface Applications.","authors":"Fei Zhang, Mehdi Aghagolzadeh, Karim Oweiss","doi":"10.1007/s11265-012-0670-x","DOIUrl":"https://doi.org/10.1007/s11265-012-0670-x","url":null,"abstract":"Reliability, scalability and clinical viability are of utmost importance in the design of wireless Brain Machine Interface systems (BMIs). This paper reports on the design and implementation of a neuroprocessor for conditioning raw extracellular neural signals recorded through microelectrode arrays chronically implanted in the brain of awake behaving rats. The neuroprocessor design exploits a sparse representation of the neural signals to combat the limited wireless telemetry bandwidth. We demonstrate a multimodal processing capability (monitoring, compression, and spike sorting) inherent in the neuroprocessor to support a wide range of scenarios in real experimental conditions. A wireless transmission link with rate-dependent compression strategy is shown to preserve information fidelity in the neural data. At 32 channels, the neuroprocessor has been fully implemented on a 5mm×5mm nano-FPGA, and the prototyping resulted in 5.19 mW power consumption, bringing its performance within the power-size constraints for clinical use. The optimal design for compression and sorting performance was evaluated for multiple sampling frequencies, wavelet basis choice and power consumption.","PeriodicalId":50050,"journal":{"name":"Journal of Signal Processing Systems for Signal Image and Video Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2012-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/s11265-012-0670-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30963910","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22