Content-based load shedding in multimedia data stream management system

[1] D. J. Abadi, D. Carney, U. Çetintemel, M. Cherniack, C. Convey, S. Lee, M. Stonebraker, N. Tatbul, and S. Zdonik, “Aurora: A New Model and Architecture for Data Stream Management,” Internat. J. Very Large Data Bases (VLDB J.), 12:2 (2003), 120-139.10.1007/s00778-003-0095-zSearch in Google Scholar

[2] S. Acharya, P. B. Gibbons, and V. Poosala, “Congressional Samples for Approximate Answering of Group-By Queries,” Proc. ACM SIGMOD Internat. Conf. on Management of Data (SIGMOD ’00) (Dallas, TX, 2000), pp. 487-498.10.1145/335191.335450Search in Google Scholar

[3] S. Acharya, P. B. Gibbons, V. Poosala, and S. Ramaswamy, “Join Synopses for Approximate Query Answering,” Proc. ACM SIGMOD Internat. Conf. on Management of Data (SIGMOD ’99) (Philadelphia, PA, 1999), pp. 275-286.10.1145/304181.304207Search in Google Scholar

[4] Amiri, A., Fathy, M., Naseri, A., "Key-frame extraction and video summarization using QR-Decomposition", Digital Content, Multimedia Technology and its Applications (IDC), 2010 6th International Conference on, On page(s): 134 - 139, Volume: Issue: , 16- 18 Aug. 2010.10.1155/2010/892124Search in Google Scholar

[5] N. Apostoloff and A. Zisserman, “Who Are You? - Real-Time Person Identification,” Proc. British Machine Vision Conf. (BMVC ’07) (Coventry, UK, 2007), pp. 509-518.10.5244/C.21.48Search in Google Scholar

[6] A. Arasu, B. Babcock, S. Babu, J. Cieslewicz, M. Datar, K. Ito, R. Motwani, U. Srivastava, and J. Widom, “STREAM: The Stanford Data Stream Management System,” Stanford Univ. InfoLab, 2004, <http://dbpubs.stanford.edu:8090/pub/2004-20>.10.1145/872757.872854Search in Google Scholar

[7] B. Babcock, S. Chaudhuri, and G. Das, “Dynamic Sample Selection for Approximate Query Processing,” Proc. ACM SIGMOD Internat. Conf. on Management of Data (SIGMOD ’03) (San Diego, CA, 2003), pp. 539-550.10.1145/872757.872822Search in Google Scholar

[8] B. Babcock, M. Datar, and R. Motwani, “Load Shedding for Aggregation Queries over Data Streams,” Proc. 20th Internat. Conf. on Data Eng. (ICDE ’04) (Boston, MA, 2004), pp. 350-361.Search in Google Scholar

[9] Camara-Chavez, G., Precioso, F., Cord, M., Phillip-Foliguet, S., de A. Araujo, A., "An interactive video content-based retrieval system", Systems, Signals and Image Processing, 2008. IWSSIP 2008. 15th International Conference on, On page(s): 133 - 136, Volume: Issue: , 25-28 June 200810.1109/IWSSIP.2008.4604385Search in Google Scholar

[10] K. Chakrabarti, M. N. Garofalakis, R. Rastogi, and K. Shim, “Approximate Query Processing Using Wavelets,” Proc. 26th Internat. Conf. on Very Large Data Bases (VLDB ’00) (Cairo, Egy., 2000), pp. 111-122.Search in Google Scholar

[11] S. Chandrasekaran, O. Cooper, A. Deshpande, M. J. Franklin, J. M. Hellerstein, W. Hong, S. Krishnamurthy, S. Madden, V. Raman, F. Reiss, and M. Shah, “TelegraphCQ: Continuous Dataflow Processing for an Uncertain World,” Proc. 1st Biennial Conf. on Innovative Data Syst. Res. (CIDR ’03) (Asilomar, CA, 2003).Search in Google Scholar

[12] S. Chang, L. Zhao, S. Guirguis and R. Kulkarni, “A Computation-Oriented Multimedia Data Streams Model for Content-Based Information Retrieval.” In Multimedia Tools and Applications, Volume 46, Nos. 2-3, pages 399-423, Jan 2010.10.1007/s11042-009-0372-ySearch in Google Scholar

[13] Chasanis, V.T., Likas, A.C., Galatsanos, N.P., "Scene Detection in Videos Using Shot Clustering and Sequence Alignment", Multimedia, IEEE Transactions on, On page(s): 89 - 100, Volume: 11 Issue: 1, Jan. 200910.1109/TMM.2008.2008924Search in Google Scholar

[14] S. Chaudhuri, R. Motwani, and V. Narasayya, “On Random Sampling over Joins,” Proc. ACM SIGMOD Internat. Conf. on Management of Data (SIGMOD ’99) (Philadelphia, PA, 1999), pp. 263-274.10.1145/304181.304206Search in Google Scholar

[15] G. F. Franklin, J. D. Powell, and A. Emami-Naeini, Feedback Control of Dynamic Systems, Prentice Hall, Upper Saddle River, NJ, 2002.Search in Google Scholar

[16] Y. E. Ioannidis and V. Poosala, “Histogram-Based Approximation of Set-Valued Query-Answers,” Proc. 25th Internat. Conf. on Very Large Data Bases (VLDB ’99) (Edinburgh, Scot., 1999), pp. 174-185.Search in Google Scholar

[17] L. Lim, M. Wang, and J. S. Vitter, “SASH: A Self-Adaptive Histogram Set for Dynamically Changing Workloads,” Proc. 29th Internat. Conf. on Very Large Data Bases (VLDB ’03) (Berlin, Ger., 2003), pp. 369-380.10.1016/B978-012722442-8/50040-9Search in Google Scholar

[18] S.-H. Lin, S.-Y. Kung, and L.-J. Lin, “Face Recognition/Detection by Probabilistic Decision-Based Neural Network,” IEEE Trans. Neural Networks, 8:1 (1997), 114-132.10.1109/72.554196Search in Google Scholar

[19] Jiebo Luo, Papin, C., Costello, K., "Towards Extracting Semantically Meaningful Key Frames From Personal Video Clips: From Humans to Computers", Circuits and Systems for Video Technology, IEEE Transactions on, On page(s): 289 - 301, Volume: 19 Issue: 2, Feb. 200910.1109/TCSVT.2008.2009241Search in Google Scholar

[20] R. Maison, D.J. Steen, M. Zakrzewicz and Z. Biniek, “Monitoring High Performance Data Streams in Vertical Markets: Theory and Applications in Public Safety and Healthcare,” Bell Labs Technical Journal, 16(3) (2011), 163-180.10.1002/bltj.20528Search in Google Scholar

[21] R. Maison and M. Zakrzewicz, “Prediction-Based Load Shedding for Burst Data Streams,” Bell Labs Technical Journal, 16(1) (2011), 121-132.10.1002/bltj.20490Search in Google Scholar

[22] Y. Matias, J. S. Vitter, and M. Wang, “Dynamic Maintenance of Wavelet-Based Histograms,” Proc. 26th Internat. Conf. on Very Large Data Bases (VLDB ’00) (Cairo, Egy., 2000), pp. 101-110.Search in Google Scholar

[23] R. Motwani, J. Widom, A. Arasu, B. Babcock, S. Babu, M. Datar, G. Manku, C. Olston, J. Rosenstein, and R. Varma, “Query Processing, Resource Management, and Approximation in a Data Stream Management System,” Proc. 1st Biennial Conf. on Innovative Data Syst. Res. (CIDR ’03) (Asilomar, CA, 2003).Search in Google Scholar

[24] A. Pentland, B. Moghaddam, and T. Starner, “View-Based and Modular Eigenspaces for Face Recognition,” Proc. IEEE Conf. on Comput. Vision and Pattern Recognition (CVPR ’94) (Seattle, WA, 1994), pp. 84-91.10.1109/CVPR.1994.323814Search in Google Scholar

[25] F. Reiss and J. M. Hellerstein, “Data Triage: An Adaptive Architecture for Load Shedding in TelegraphCQ,” Proc. 21st Internat. Conf. on Data Eng. (ICDE ’05) (Tokyo, Jpn., 2005), pp. 155-156.Search in Google Scholar

[26] F. Reiss and J. M. Hellerstein, “Declarative Network Monitoring with an Underprovisioned Query Processor,” Proc. 22nd Internat. Conf. on Data Eng. (ICDE ’06) (Atlanta, GA, 2006), p. 56.10.1109/ICDE.2006.46Search in Google Scholar

[27] F. Sameria and S. Young, “HMM-Based Architecture for Face Identification,” Image and Vision Comput., 12:8 (1994), 537-543.10.1016/0262-8856(94)90007-8Search in Google Scholar

[28] N. Tatbul, U. Çetintemel, S. Zdonik, M. Cherniack, and M. Stonebraker, “Load Shedding in a Data Stream Manager,” Proc. 29th Internat. Conf. on Very Large Data Bases (VLDB ’03) (Berlin, Ger., 2003), pp. 309-320.10.1016/B978-012722442-8/50035-5Search in Google Scholar

[29] N. Tatbul and S. Zdonik, “Window-Aware Load Shedding for Aggregation Queries over Data Streams,” Proc. 32nd Internat. Conf. on Very Large Data Bases (VLDB ’06) (Seoul, Kor., 2006), pp. 799-810.Search in Google Scholar

[30] Y.-C. Tu, S. Liu, S. Prabhakar, and B. Yao, “Load Shedding in Stream Databases: A Control-Based Approach,” Proc. 32nd Internat. Conf. on Very Large Data Bases (VLDB ’06) (Seoul, Kor., 2006), pp. 787-798.Search in Google Scholar

[31] M. A. Turk and A. P. Pentland, “Face Recognition Using Eigenfaces,” Proc. IEEE Conf. on Comput. Vision and Pattern Recognition (CVPR ’91) (Maui, HI, 1991), pp. 586-591.Search in Google Scholar

[32] P. Viola and M. Jones, “Robust Real-Time Object Detection,” Proc. 2nd Internat. Workshop on Statistical and Computational Theories of Vision (SCTV ’01) (Vancouver, BC, Can., 2001).Search in Google Scholar

[33] J. S. Vitter and M. Wang, “Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets,” Proc. ACM SIGMOD Internat. Conf. on Management of Data (SIGMOD ’99) (Philadelphia, PA, 1999), pp. 193-204.10.1145/304181.304199Search in Google Scholar

[34] L. Wiskott, J.-M. Fellous, N. Krüger, and C. von der Malsburg, “Face Recognition by Elastic Bunch Graph Matching,” IEEE Trans. Pattern Analysis and Machine Intelligence, 19:7 (1997), 775-779.10.1109/34.598235Search in Google Scholar

[35] Qing Xu; Pengcheng Wang; Bin Long; Sbert, M.; Feixas, M.; Scopigno, R.; , "Selection and 3D visualization of video key frames," Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on , vol., no., pp.52-59, 10-13 Oct. 2010 doi: 10.1109/ICSMC.2010.564220410.1109/ICSMC.2010.5642204Search in Google Scholar

[36] W. Zhao, A. Krishnaswamy, R. Chellappa, D. L. Swets, and J. Weng, “Discriminant Analysis of Principal Components for Face Recognition,” Face Recognition: From Theory to Applications (H. Wechsler, P. J. Phillips, V. Bruce, F. Fogelman Soulié, and T. S. Huang, eds.), Springer-Verlag, Berlin, Heidelberg, New York, 1998, pp. 73-85.10.1007/978-3-642-72201-1_4Search in Google Scholar

[37] Y. Zhuang, Y. Rui, T.S. Huang and S. Mehrotra, "Adaptive key frame extraction using unsupervised clustering," Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on , vol.1, no., pp.866-870 vol.1, 4-7 Oct 1998.Search in Google Scholar