{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T10:05:51Z","timestamp":1648980351629},"reference-count":31,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"12","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2018,12,1]]},"DOI":"10.1587\/transinf.2018pap0004","type":"journal-article","created":{"date-parts":[[2018,11,30]],"date-time":"2018-11-30T22:27:40Z","timestamp":1543616860000},"page":"2878-2888","source":"Crossref","is-referenced-by-count":2,"title":["Real-Time and Energy-Efficient Face Detection on CPU-GPU Heterogeneous Embedded Platforms"],"prefix":"10.1587","volume":"E101.D","author":[{"given":"Chanyoung","family":"OH","sequence":"first","affiliation":[{"name":"School of Electrical and Computer Engineering, University of Seoul"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Saehanseul","family":"YI","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, University of Seoul"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Youngmin","family":"YI","sequence":"additional","affiliation":[{"name":"School of Electrical and Computer Engineering, University of Seoul"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] B. Jeff, \u201cbig. little technology moves towards fully heterogeneous global task scheduling,\u201d White Paper., 2013."},{"key":"2","unstructured":"[2] NVIDIA, \u201cK1: A new era in mobile computing,\u201d NVIDIA White Paper, 2014."},{"key":"3","doi-asserted-by":"publisher","unstructured":"[3] T. Ahonen, A. Hadid, and M. Pietikainen, \u201cFace description with local binary patterns: Application to face recognition,\u201d IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, no.12, pp.2037-2041, 2006. 10.1109\/tpami.2006.244","DOI":"10.1109\/TPAMI.2006.244"},{"key":"4","doi-asserted-by":"crossref","unstructured":"[4] C. Shan, S. Gong, and P.W. McOwan, \u201cRobust facial expression recognition using local binary patterns,\u201d IEEE International Conference on Image Processing, 2005, ICIP 2005, pp.II-370, IEEE, 2005. 10.1109\/icip.2005.1530069","DOI":"10.1109\/ICIP.2005.1530069"},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] D. Oro, C. Fern\u00e1ndez, J.R. Saeta, X. Martorell, and J. Hernando, \u201cReal-time gpu-based face detection in hd video sequences,\u201d 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops), pp.530-537, IEEE, 2011. 10.1109\/iccvw.2011.6130288","DOI":"10.1109\/ICCVW.2011.6130288"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] B. Sharma, R. Thota, N. Vydyanathan, and A. Kale, \u201cTowards a robust, real-time face processing system using cuda-enabled gpus,\u201d 2009 International Conference on High Performance Computing (HiPC), pp.368-377, IEEE, 2009. 10.1109\/hipc.2009.5433189","DOI":"10.1109\/HIPC.2009.5433189"},{"key":"7","doi-asserted-by":"crossref","unstructured":"[7] J. Cho, S. Mirzaei, J. Oberg, and R. Kastner, \u201cFpga-based face detection system using haar classifiers,\u201d Proceedings of the ACM\/SIGDA international symposium on Field programmable gate arrays, pp.103-112, ACM, 2009. 10.1145\/1508128.1508144","DOI":"10.1145\/1508128.1508144"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] D. Hefenbrock, J. Oberg, N.T.N. Thanh, R. Kastner, and S.B. Baden, \u201cAccelerating viola-jones face detection to fpga-level using gpus,\u201d 2010 18th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM), pp.11-18, IEEE, 2010. 10.1109\/fccm.2010.12","DOI":"10.1109\/FCCM.2010.12"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] E. Li, B. Wang, L. Yang, Y.-T. Peng, Y. Du, Y. Zhang, and Y.-J. Chiu, \u201cGpu and cpu cooperative accelaration for face detection on modern processors,\u201d 2012 IEEE International Conference on Multimedia and expo (ICME), pp.769-775, IEEE, 2012. 10.1109\/icme.2012.121","DOI":"10.1109\/ICME.2012.121"},{"key":"10","doi-asserted-by":"publisher","unstructured":"[10] F. Gao, Z. Huang, S. Wang, and X. Ji, \u201cOptimized parallel implementation of face detection based on embedded heterogeneous many-core architecture,\u201d International Journal of Pattern Recognition and Artificial Intelligence, vol.31, no.7, 1756011, 2017. 10.1142\/s0218001417560110","DOI":"10.1142\/S0218001417560110"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] S. Yi, I. Yoon, C. Oh, and Y. Yi, \u201cReal-time integrated face detection and recognition on embedded GPGPUs,\u201d 2014 IEEE 12th Symposium on Embedded Systems for Real-time Multimedia (ESTIMedia), pp.98-107, IEEE, 2014. 10.1109\/estimedia.2014.6962350","DOI":"10.1109\/ESTIMedia.2014.6962350"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] C. Oh, S. Yi, and Y. Yi, \u201cReal-time face detection in Full HD images exploiting both embedded CPU and GPU,\u201d 2015 IEEE International Conference on Multimedia and Expo (ICME), pp.1-6, IEEE, 2015. 10.1109\/icme.2015.7177522","DOI":"10.1109\/ICME.2015.7177522"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] A.K. Singh, M. Shafique, A. Kumar, and J. Henkel, \u201cMapping on multi\/many-core systems: survey of current and emerging trends,\u201d Proceedings of the 50th Annual Design Automation Conference, p.1, ACM, 2013. 10.1145\/2463209.2488734","DOI":"10.1145\/2463209.2488734"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] C. Lee, W.W. Ro, and J.-L. Gaudiot, \u201cCooperative heterogeneous computing for parallel processing on cpu\/gpu hybrids,\u201d 2012 16th Workshop on Interaction between Compilers and Computer Architectures (INTERACT), pp.33-40, IEEE, 2012. 10.1109\/interact.2012.6339624","DOI":"10.1109\/INTERACT.2012.6339624"},{"key":"15","doi-asserted-by":"crossref","unstructured":"[15] L. Schor, A. Tretter, T. Scherer, and L. Thiele, \u201cExploiting the parallelism of heterogeneous systems using dataflow graphs on top of opencl,\u201d The 11th IEEE Symposium on Embedded Systems forReal-time Multimedia (ESTIMedia), pp.41-50, IEEE, 2013. 10.1109\/estimedia.2013.6704502","DOI":"10.1109\/ESTIMedia.2013.6704502"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] J. Jahn, S. Pagani, S. Kobbe, J.-J. Chen, and J. Henkel, \u201cOptimizations for configuring and mapping software pipelines in many core systems,\u201d Proceedings of the 50th Annual Design Automation Conference, p.130, ACM, 2013. 10.1145\/2463209.2488894","DOI":"10.1145\/2463209.2488894"},{"key":"17","doi-asserted-by":"crossref","unstructured":"[17] A. Tumeo, M. Branca, L. Camerini, M. Ceriani, M. Monchiero, G. Palermo, F. Ferrandi, and D. Sciuto, \u201cPrototyping pipelined applications on a heterogeneous fpga multiprocessor virtual platform,\u201d Proceedings of the 2009 Asia and South Pacific Design Automation Conference, pp.317-322, IEEE Press, 2009. 10.1109\/aspdac.2009.4796500","DOI":"10.1109\/ASPDAC.2009.4796500"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] S.L. Shee and S. Parameswaran, \u201cDesign methodology for pipelined heterogeneous multiprocessor system,\u201d Proceedings of the 44th annual Design Automation Conference, pp.811-816, ACM, 2007. 10.1109\/dac.2007.375276","DOI":"10.1109\/DAC.2007.375276"},{"key":"19","doi-asserted-by":"publisher","unstructured":"[19] J. Hu and R. Marculescu, \u201cEnergy- and performance-aware mapping for regular noc architectures,\u201d IEEE Transactions on computer-aided design of integrated circuits and systems, vol.24, no.4, pp.551-562, 2005. 10.1109\/tcad.2005.844106","DOI":"10.1109\/TCAD.2005.844106"},{"key":"20","doi-asserted-by":"publisher","unstructured":"[20] C.A.M. Marcon, E.I. Moreno, N.L.V. Calazans, and F.G. Moraes, \u201cComparison of network-on-chip mapping algorithms targeting low energy consumption,\u201d IET Computers &amp; Digital Techniques, vol.2, no.6, pp.471-482, 2008. 10.1049\/iet-cdt:20070111","DOI":"10.1049\/iet-cdt:20070111"},{"key":"21","doi-asserted-by":"crossref","unstructured":"[21] G. Ascia, V. Catania, and M. Palesi, \u201cMulti-objective mapping for mesh-based noc architectures,\u201d Proceedings of the 2nd IEEE\/ACM\/IFIP international conference on Hardware\/software codesign and system synthesis, pp.182-187, ACM, 2004. 10.1145\/1016720.1016765","DOI":"10.1145\/1016720.1016765"},{"key":"22","doi-asserted-by":"crossref","unstructured":"[22] E.W. Bri\u00e3o, D. Barcelos, and F.R. Wagner, \u201cDynamic task allocation strategies in mpsoc for soft real-time applications,\u201d Proceedings of the Conference on Design, Automation and Test in Europe, pp.1386-1389, ACM, 2008. 10.1145\/1403375.1403709","DOI":"10.1145\/1403375.1403709"},{"key":"23","doi-asserted-by":"publisher","unstructured":"[23] A.K. Singh, A. Kumar, and T. Srikanthan, \u201cAccelerating throughput-aware runtime mapping for heterogeneous mpsocs,\u201d ACM Transactions on Design Automation of Electronic Systems (TODAES), vol.18, no.1, p.9, 2013. 10.1145\/2390191.2390200","DOI":"10.1145\/2390191.2390200"},{"key":"24","doi-asserted-by":"publisher","unstructured":"[24] V. Petrucci, O. Loques, D. Moss\u00e9, R. Melhem, N.A. Gazala, and S. Gobriel, \u201cEnergy-efficient thread assignment optimization for heterogeneous multicore systems,\u201d ACM Transactions on Embedded Computing Systems (TECS), vol.14, no.1, p.15, 2015. 10.1145\/2566618","DOI":"10.1145\/2566618"},{"key":"25","doi-asserted-by":"publisher","unstructured":"[25] A. Colin, A. Kandhalu, and R.R. Rajkumar, \u201cEnergy-efficient allocation of real-time applications onto single-isa heterogeneous multi-core processors,\u201d Journal of Signal Processing Systems, vol.84, no.1, pp.91-110, 2016. 10.1007\/s11265-015-0987-3","DOI":"10.1007\/s11265-015-0987-3"},{"key":"26","doi-asserted-by":"crossref","unstructured":"[26] J. Park and W. Baek, \u201cRchc: A holistic runtime system for concurrent heterogeneous computing,\u201d 2016 45th International Conference on Parallel Processing (ICPP), pp.211-216, IEEE, 2016. 10.1109\/icpp.2016.31","DOI":"10.1109\/ICPP.2016.31"},{"key":"27","doi-asserted-by":"crossref","unstructured":"[27] H. Yang and S. Ha, \u201cPipelined data parallel task mapping\/scheduling technique for mpsoc,\u201d Proceedings of the conference on Design, automation and test in Europe, pp.69-74, ACM, 2009. 10.1109\/date.2009.5090635","DOI":"10.1109\/DATE.2009.5090635"},{"key":"28","doi-asserted-by":"crossref","unstructured":"[28] H. Zhou and C. Liu, \u201cTask mapping in heterogeneous embedded systems for fast completion time,\u201d Proceedings of the 14th International Conference on Embedded Software, p.22, ACM, 2014. 10.1145\/2656045.2656074","DOI":"10.1145\/2656045.2656074"},{"key":"29","doi-asserted-by":"crossref","unstructured":"[29] P. Viola and M. Jones, \u201cRapid object detection using a boosted cascade of simple features,\u201d Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2001, pp.I-511, IEEE, 2001. 10.1109\/cvpr.2001.990517","DOI":"10.1109\/CVPR.2001.990517"},{"key":"30","unstructured":"[30] \u201c50\/50 The Movie-Official Trailer [HD],\u201d available: http:\/\/www.50-50themovie.com [accessed: 18 October 2018], 2011."},{"key":"31","doi-asserted-by":"crossref","unstructured":"[31] M. Lukasiewycz, M. Gla\u00df, F. Reimann, and J. Teich, \u201cOpt4j: a modular framework for meta-heuristic optimization,\u201d Proceedings of the 13th annual conference on Genetic and evolutionary computation, pp.1723-1730, ACM, 2011. 10.1145\/2001576.2001808","DOI":"10.1145\/2001576.2001808"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/12\/E101.D_2018PAP0004\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,6]],"date-time":"2019-11-06T12:40:45Z","timestamp":1573044045000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/12\/E101.D_2018PAP0004\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,12,1]]},"references-count":31,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2018]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2018pap0004","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,12,1]]}}}