{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,4]],"date-time":"2025-05-04T00:38:45Z","timestamp":1746319125498},"reference-count":42,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T00:00:00Z","timestamp":1664323200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T00:00:00Z","timestamp":1664323200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Real-Time Image Proc"],"published-print":{"date-parts":[[2022,12]]},"DOI":"10.1007\/s11554-022-01255-7","type":"journal-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T03:28:36Z","timestamp":1664335716000},"page":"1199-1210","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Towards SSD accelerating for embedded environments: a compressive sensing based approach"],"prefix":"10.1007","volume":"19","author":[{"given":"Imene","family":"Bouderbal","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Abdenour","family":"Amamra","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. El-Arbi","family":"Djebbar","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M. Akrem","family":"Benatia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,9,28]]},"reference":[{"key":"1255_CR1","unstructured":"Adler, A., Elad, M., Zibulevsky, M.: Compressed learning: a deep neural network approach. arXiv:1610.09615 (2016)"},{"key":"1255_CR2","doi-asserted-by":"crossref","unstructured":"Agustsson, E., Timofte, R.: Ntire 2017 challenge on single image super-resolution: Dataset and study. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp. 126\u2013135 (2017)","DOI":"10.1109\/CVPRW.2017.150"},{"key":"1255_CR3","unstructured":"Bethi, Y.R.T., Narayanan, S., Rangan, V., Thakur, C.S.: Real-time object detection and localization in compressive sensed video on embedded hardware. arXiv:1912.08519 (2019)"},{"key":"1255_CR4","unstructured":"Bochkovskiy, A., Wang, C.Y., Liao, H.Y.M.: Yolov4: Optimal speed and accuracy of object detection. arXiv:2004.10934 (2020)"},{"key":"1255_CR5","doi-asserted-by":"crossref","unstructured":"Bouderbal, I., Amamra, A., Benatia, M.A.: How would image down-sampling and compression impact object detection in the context of self-driving vehicles? In: CSA, pp. 25\u201337 (2020)","DOI":"10.1007\/978-3-030-69418-0_3"},{"key":"1255_CR6","doi-asserted-by":"crossref","unstructured":"Bouderbal, I., Amamra, A., Benatia, M.A.: An analytical study of efficient cnns tuning and scaling for traffic signs recognition. In: 2021 international conference on recent advances in mathematics and informatics (ICRAMI), pp. 1\u20136, IEEE (2021)","DOI":"10.1109\/ICRAMI52622.2021.9585952"},{"key":"1255_CR7","doi-asserted-by":"crossref","unstructured":"Cai, Z., Vasconcelos, N.: Cascade r-cnn: High quality object detection and instance segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence (2019)","DOI":"10.1109\/CVPR.2018.00644"},{"key":"1255_CR8","doi-asserted-by":"crossref","unstructured":"Deguerre, B., Chatelain, C., Gasso, G.: Fast object detection in compressed jpeg images. In: 2019 IEEE intelligent transportation systems conference (ITSC), pp. 333\u2013338, IEEE (2019)","DOI":"10.1109\/ITSC.2019.8916937"},{"key":"1255_CR9","doi-asserted-by":"crossref","unstructured":"Deguerre, B., Chatelain, C., Gasso, G.: Object detection in the dct domain: is luminance the solution? In: 2020 25th international conference on pattern recognition (ICPR), pp. 2627\u20132634, IEEE (2021)","DOI":"10.1109\/ICPR48806.2021.9412998"},{"issue":"4","key":"1255_CR10","doi-asserted-by":"publisher","first-page":"1258","DOI":"10.1007\/s11263-020-01419-7","volume":"129","author":"K Ding","year":"2021","unstructured":"Ding, K., Ma, K., Wang, S., Simoncelli, E.P.: Comparison of full-reference image quality models for optimization of image processing systems. Int. J. Comput. Vis. 129(4), 1258\u20131281 (2021)","journal-title":"Int. J. Comput. Vis."},{"key":"1255_CR11","unstructured":"Fowler, J.E., Mun, S., Tramel, E.W.: Multiscale block compressed sensing with smoothed projected landweber reconstruction. In: 2011 19th European signal processing conference, pp. 564\u2013568, IEEE (2011)"},{"key":"1255_CR12","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast r-cnn. In: Proceedings of the IEEE international conference on computer vision, pp. 1440\u20131448 (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"1255_CR13","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 580\u2013587 (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"1255_CR14","first-page":"3933","volume":"31","author":"L Gueguen","year":"2018","unstructured":"Gueguen, L., Sergeev, A., Kadlec, B., Liu, R., Yosinski, J.: Faster neural networks straight from jpeg. Adv. Neural Inf. Process. Syst. 31, 3933\u20133944 (2018)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"1255_CR15","doi-asserted-by":"crossref","unstructured":"Guo, S., Liu, Y., Ni, Y., Ni, W.: Lightweight ssd: real-time lightweight single shot detector for mobile devices. In: VISIGRAPP (5: VISAPP), pp. 25\u201335 (2021)","DOI":"10.5220\/0010188000250035"},{"issue":"6","key":"1255_CR16","doi-asserted-by":"publisher","first-page":"2527","DOI":"10.1007\/s11554-021-01145-4","volume":"18","author":"J Han","year":"2021","unstructured":"Han, J., Yang, Y.: L-net: lightweight and fast object detector-based shufflenetv2. J. Real-Time Image Process. 18(6), 2527\u20132538 (2021)","journal-title":"J. Real-Time Image Process."},{"key":"1255_CR17","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask r-cnn. In: Proceedings of the IEEE international conference on computer vision, pp. 2961\u20132969 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"key":"1255_CR18","doi-asserted-by":"crossref","unstructured":"Hore, A., Ziou, D.: Image quality metrics: Psnr vs. ssim. In: 2010 20th international conference on pattern recognition, pp. 2366\u20132369. IEEE (2010)","DOI":"10.1109\/ICPR.2010.579"},{"key":"1255_CR19","unstructured":"Howard, A.G., Zhu, M., Chen, B., Kalenichenko, D., Wang, W., Weyand, T., Andreetto, M., Adam, H.: Mobilenets: efficient convolutional neural networks for mobile vision applications. arXiv:1704.04861 (2017)"},{"key":"1255_CR20","doi-asserted-by":"crossref","unstructured":"Justus, D., Brennan, J., Bonner, S., McGough, A.S.: Predicting the computational cost of deep learning models. In: 2018 IEEE international conference on big data (Big Data), pp. 3873\u20133882, IEEE (2018)","DOI":"10.1109\/BigData.2018.8622396"},{"key":"1255_CR21","doi-asserted-by":"crossref","unstructured":"Khosravy, M., Gupta, N., Patel, N., Duque, C.A.: Recovery in compressive sensing: a review. In: Compressive sensing in healthcare, pp. 25\u201342 (2020)","DOI":"10.1016\/B978-0-12-821247-9.00007-X"},{"key":"1255_CR22","doi-asserted-by":"crossref","unstructured":"Kulkarni, K., Lohit, S., Turaga, P., Kerviche, R., Ashok, A.: Reconnet: non-iterative reconstruction of images from compressively sensed measurements. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 449\u2013458 (2016)","DOI":"10.1109\/CVPR.2016.55"},{"issue":"6","key":"1255_CR23","doi-asserted-by":"publisher","first-page":"1949","DOI":"10.1007\/s11554-020-01053-z","volume":"18","author":"Z Li","year":"2021","unstructured":"Li, Z., Sun, Y., Tian, G., Xie, L., Liu, Y., Su, H., He, Y.: A compression pipeline for one-stage object detection model. J. Real-Time Image Process. 18(6), 1949\u20131962 (2021)","journal-title":"J. Real-Time Image Process."},{"issue":"9","key":"1255_CR24","doi-asserted-by":"publisher","first-page":"2079","DOI":"10.3390\/s19092079","volume":"19","author":"L Liao","year":"2019","unstructured":"Liao, L., Li, K., Yang, C., Liu, J.: Low-cost image compressive sensing with multiple measurement rates for object detection. Sensors 19(9), 2079 (2019)","journal-title":"Sensors"},{"key":"1255_CR25","doi-asserted-by":"crossref","unstructured":"Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.Y., Berg, A.C.: Ssd: single shot multibox detector. In: European conference on computer vision, pp. 21\u201337. Springer (2016)","DOI":"10.1007\/978-3-319-46448-0_2"},{"issue":"4","key":"1255_CR26","doi-asserted-by":"publisher","first-page":"866","DOI":"10.3390\/s19040866","volume":"19","author":"T Ophoff","year":"2019","unstructured":"Ophoff, T., Van Beeck, K., Goedem\u00e9, T.: Exploring rgb+ depth fusion for real-time object detection. Sensors 19(4), 866 (2019)","journal-title":"Sensors"},{"issue":"3","key":"1255_CR27","doi-asserted-by":"publisher","first-page":"279","DOI":"10.3390\/electronics10030279","volume":"10","author":"R Padilla","year":"2021","unstructured":"Padilla, R., Passos, W.L., Dias, T.L., Netto, S.L., da Silva, E.A.: A comparative analysis of object detection metrics with a companion open-source toolkit. Electronics 10(3), 279 (2021)","journal-title":"Electronics"},{"key":"1255_CR28","doi-asserted-by":"crossref","unstructured":"Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: You only look once: Unified, real-time object detection. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 779\u2013788 (2016)","DOI":"10.1109\/CVPR.2016.91"},{"key":"1255_CR29","doi-asserted-by":"crossref","unstructured":"Redmon, J., Farhadi, A.: Yolo9000: better, faster, stronger. In: Proceedings of the IEEE conference on computer vision and pattern recognition, pp. 7263\u20137271 (2017)","DOI":"10.1109\/CVPR.2017.690"},{"key":"1255_CR30","unstructured":"Redmon, J., Farhadi, A.: Yolov3: an incremental improvement. arXiv:1804.02767 (2018)"},{"issue":"6","key":"1255_CR31","doi-asserted-by":"publisher","first-page":"2181","DOI":"10.1007\/s11554-021-01102-1","volume":"18","author":"K Ren","year":"2021","unstructured":"Ren, K., Huang, L., Fan, C., Han, H., Deng, H.: Real-time traffic sign detection network using ds-detnet and lite fusion fpn. J. Real-Time Image Process. 18(6), 2181\u20132191 (2021)","journal-title":"J. Real-Time Image Process."},{"key":"1255_CR32","first-page":"91","volume":"28","author":"S Ren","year":"2015","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: towards real-time object detection with region proposal networks. Adv. Neural Inf. Process. Syst. 28, 91\u201399 (2015)","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"1255_CR33","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1109\/TIP.2019.2928136","volume":"29","author":"W Shi","year":"2019","unstructured":"Shi, W., Jiang, F., Liu, S., Zhao, D.: Image compressed sensing using convolutional neural network. IEEE Trans. Image Process. 29, 375\u2013388 (2019)","journal-title":"IEEE Trans. Image Process."},{"key":"1255_CR34","unstructured":"Torfason, R., Mentzer, F., Agustsson, E., Tschannen, M., Timofte, R., Van\u00a0Gool, L.: Towards image understanding from deep compression without decoding. arXiv:1803.06131 (2018)"},{"issue":"1","key":"1255_CR35","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1109\/30.125072","volume":"38","author":"GK Wallace","year":"1992","unstructured":"Wallace, G.K.: The jpeg still picture compression standard. IEEE Trans. Consumer Electron. 38(1), 5 (1992)","journal-title":"IEEE Trans. Consumer Electron."},{"issue":"4","key":"1255_CR36","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"issue":"7","key":"1255_CR37","first-page":"2409","volume":"31","author":"D Xu","year":"2019","unstructured":"Xu, D., Shi, Y., Tsang, I.W., Ong, Y.S., Gong, C., Shen, X.: Survey on multi-output learning. IEEE Trans. Neural Netw. Learn. Syst. 31(7), 2409\u20132429 (2019)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"issue":"8","key":"1255_CR38","doi-asserted-by":"publisher","first-page":"3336","DOI":"10.1109\/TIP.2014.2323127","volume":"23","author":"J Zhang","year":"2014","unstructured":"Zhang, J., Zhao, D., Gao, W.: Group-based sparse representation for image restoration. IEEE Trans. Image Process. 23(8), 3336\u20133351 (2014)","journal-title":"IEEE Trans. Image Process."},{"issue":"6","key":"1255_CR39","doi-asserted-by":"publisher","first-page":"2211","DOI":"10.1007\/s11554-021-01108-9","volume":"18","author":"X Zhang","year":"2021","unstructured":"Zhang, X., Xie, H., Zhao, Y., Qian, W., Xu, X.: A fast ssd model based on parameter reduction and dilated convolution. J. Real-Time Image Process. 18(6), 2211\u20132224 (2021)","journal-title":"J. Real-Time Image Process."},{"key":"1255_CR40","first-page":"5","volume":"2019","author":"ZQ Zhao","year":"2019","unstructured":"Zhao, Z.Q., Zheng, P., Xu, S.T., Wu, X.: Object detection with deep learning: a review. IEEE Trans. Neural Netw. Learn. Syst. 2019, 5 (2019)","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"1255_CR41","doi-asserted-by":"crossref","unstructured":"Zhou, X., Xu, L., Liu, S., Lin, Y., Zhang, L., Zhuo, C.: An efficient compressive convolutional network for unified object detection and image compression. In: Proceedings of the AAAI conference on artificial intelligence, vol.\u00a033, pp. 5949\u20135956 (2019)","DOI":"10.1609\/aaai.v33i01.33015949"},{"key":"1255_CR42","doi-asserted-by":"crossref","unstructured":"Zhu, R., Zhang, S., Wang, X., Wen, L., Shi, H., Bo, L., Mei, T.: Scratchdet: Training single-shot object detectors from scratch. In: Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition, pp. 2268\u20132277 (2019)","DOI":"10.1109\/CVPR.2019.00237"}],"container-title":["Journal of Real-Time Image Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-022-01255-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11554-022-01255-7\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11554-022-01255-7.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,10,26]],"date-time":"2022-10-26T13:45:14Z","timestamp":1666791914000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11554-022-01255-7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,28]]},"references-count":42,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,12]]}},"alternative-id":["1255"],"URL":"https:\/\/doi.org\/10.1007\/s11554-022-01255-7","relation":{},"ISSN":["1861-8200","1861-8219"],"issn-type":[{"value":"1861-8200","type":"print"},{"value":"1861-8219","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,9,28]]},"assertion":[{"value":"15 May 2022","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 September 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 September 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}