{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:00:58Z","timestamp":1783526458608,"version":"3.55.0"},"publisher-location":"Cham","reference-count":61,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783319464770","type":"print"},{"value":"9783319464787","type":"electronic"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-46478-7_48","type":"book-chapter","created":{"date-parts":[[2016,9,15]],"date-time":"2016-09-15T09:48:37Z","timestamp":1473932917000},"page":"783-800","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video"],"prefix":"10.1007","author":[{"given":"Yu-Chuan","family":"Su","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristen","family":"Grauman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2016,9,16]]},"reference":[{"issue":"3","key":"48_CR1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/1922649.1922653","volume":"43","author":"J.K. Aggarwal","year":"2011","unstructured":"Aggarwal, J.K., Ryoo, M.S.: Human activity analysis: a review. ACM Comput. Surv. 43(3), April 2011","journal-title":"ACM Computing Surveys"},{"key":"48_CR2","doi-asserted-by":"crossref","unstructured":"Wang, H., Schmid, C.: Action recognition with improved trajectories. In: ICCV (2013)","DOI":"10.1109\/ICCV.2013.441"},{"key":"48_CR3","doi-asserted-by":"crossref","unstructured":"Pirsiavash, H., Ramanan, D.: Detecting activities of daily living in first-person camera views. In: CVPR (2012)","DOI":"10.1109\/CVPR.2012.6248010"},{"key":"48_CR4","doi-asserted-by":"crossref","unstructured":"Jain, M., van Gemert, J.C., Snoek, C.G.M.: What do 15,000 object categories tell us about classifying and localizing actions? In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298599"},{"key":"48_CR5","unstructured":"Simonyan, K., Zisserman, A.: Two-stream convolutional networks for action recognition in videos. In: NIPS (2014)"},{"key":"48_CR6","doi-asserted-by":"crossref","unstructured":"Xu, Z., Yang, Y., Hauptman, A.: A discriminative cnn video representation for event detection. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298789"},{"key":"48_CR7","doi-asserted-by":"crossref","unstructured":"Zha, S., Luisier, F., Andrews, W., Srivastava, N., Salakhutdinov, R.: Exploiting image-trained CNN architectures for unconstrained video classification. In: BMVC (2015)","DOI":"10.5244\/C.29.60"},{"key":"48_CR8","unstructured":"Han, D., Bo, L., Sminchisescu, C.: Selection and context for action recognition. In: ICCV (2009)"},{"key":"48_CR9","doi-asserted-by":"crossref","unstructured":"Butko, N., Movellan, J.: Optimal scanning for faster object detection. In: CVPR (2009)","DOI":"10.1109\/CVPR.2009.5206540"},{"key":"48_CR10","doi-asserted-by":"crossref","unstructured":"Vijayanarasimhan, S., Kapoor, A.: Visual recognition and detection under bounded computational resources. In: CVPR (2010)","DOI":"10.1109\/CVPR.2010.5540109"},{"key":"48_CR11","unstructured":"Karayev, S., Baumgartner, T., Fritz, M., Darrell, T.: Timely object recognition. In: NIPS (2012)"},{"key":"48_CR12","unstructured":"Dulac-Arnold, G., Denoyer, L., Thome, N., Cord, M.: Sequentially generated instance-dependent image representations for classification. In: ICLR (2014)"},{"key":"48_CR13","doi-asserted-by":"crossref","unstructured":"Karayev, S., Fritz, M., Darrell, T.: Anytime recognition of objects and scenes. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.80"},{"key":"48_CR14","doi-asserted-by":"crossref","unstructured":"Gonzalez-Garcia, A., Vezhnevets, A., Ferrari, V.: An active search strategy for efficient object class detection. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298921"},{"key":"48_CR15","unstructured":"Gao, T., Koller, D.: Active classification based on value of classifier. In: NIPS (2011)"},{"key":"48_CR16","unstructured":"Yu, X., Fermuller, C., Teo, C.L., Yang, Y., Aloimonos, Y.: Active scene recognition with vision and language. In: CVPR (2011)"},{"key":"48_CR17","doi-asserted-by":"crossref","unstructured":"Yeung, S., Russakovsky, O., Mori, G., Fei-Fei, L.: End-to-end learning of action detection from frame glimpses in videos. In: CVPR (2016)","DOI":"10.1109\/CVPR.2016.293"},{"key":"48_CR18","doi-asserted-by":"crossref","unstructured":"Hoai, M., la Torre, F.D.: Max-margin early event detectors. In: CVPR (2012)","DOI":"10.1109\/CVPR.2012.6248012"},{"key":"48_CR19","doi-asserted-by":"crossref","unstructured":"Ryoo, M.: Human activity prediction: early recognition of ongoing activities from streaming videos. In: ICCV (2011)","DOI":"10.1109\/ICCV.2011.6126349"},{"key":"48_CR20","doi-asserted-by":"publisher","first-page":"455","DOI":"10.1016\/j.imavis.2006.01.012","volume":"24","author":"J Davis","year":"2006","unstructured":"Davis, J., Tyagi, A.: Minimal-latency human action recognition using reliable-inference. Image Vis. Comput. 24, 455\u2013472 (2006)","journal-title":"Image Vis. Comput."},{"key":"48_CR21","doi-asserted-by":"crossref","unstructured":"Yao, B., Jiang, X., Khosla, A., Lin, A., Guibas, L., Fei-Fei, L.: Human action recognition by learning bases of action attributes and parts. In: ICCV (2011)","DOI":"10.1109\/ICCV.2011.6126386"},{"key":"48_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1007\/978-3-642-33718-5_11","volume-title":"Computer Vision \u2013 ECCV 2012","author":"M Rohrbach","year":"2012","unstructured":"Rohrbach, M., Regneri, M., Andriluka, M., Amin, S., Pinkal, M., Schiele, B.: Script data for attribute-based recognition of composite activities. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7572, pp. 144\u2013157. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-33718-5_11"},{"key":"48_CR23","doi-asserted-by":"crossref","unstructured":"Li, Y., Ye, Z., Rehg, J.M.: Delving into egocentric actions. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298625"},{"key":"48_CR24","doi-asserted-by":"crossref","unstructured":"Ma, M., Fan, H., Kitani, K.M.: Going deeper into first-person activity recognition (2016)","DOI":"10.1109\/CVPR.2016.209"},{"key":"48_CR25","unstructured":"Jiang, Y.G., Liu, J., Roshan Zamir, A., Toderici, G., Laptev, I., Shah, M., Sukthankar, R.: THUMOS challenge: action recognition with a large number of classes (2014). http:\/\/crcv.ucf.edu\/THUMOS14\/"},{"key":"48_CR26","doi-asserted-by":"crossref","unstructured":"Heilbron, F.C., Escorcia, V., Ghanem, B., Niebles, J.C.: ActivityNet: a large-scale video benchmark for human activity understanding. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298698"},{"key":"48_CR27","unstructured":"Ke, Y., Sukthankar, R., Hebert, M.: Efficient visual event detection using volumetric features. In: ICCV (2005)"},{"key":"48_CR28","doi-asserted-by":"crossref","unstructured":"Duchenne, O., Laptev, I., Sivic, J., Bach, F., Ponce, J.: Automatic annotation of human actions in video. In: ICCV (2009)","DOI":"10.1109\/ICCV.2009.5459279"},{"key":"48_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"536","DOI":"10.1007\/978-3-642-15549-9_39","volume-title":"Computer Vision \u2013 ECCV 2010","author":"S Satkin","year":"2010","unstructured":"Satkin, S., Hebert, M.: Modeling the temporal extent of actions. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010. LNCS, vol. 6311, pp. 536\u2013548. Springer, Heidelberg (2010). doi: 10.1007\/978-3-642-15549-9_39"},{"issue":"8","key":"48_CR30","doi-asserted-by":"publisher","first-page":"873","DOI":"10.1109\/34.946990","volume":"23","author":"G Medioni","year":"2001","unstructured":"Medioni, G., Nevatia, R., Cohen, I.: Event detection and analysis from video streams. Trans. Pattern Anal. Mach. Intell. 23(8), 873\u2013889 (2001)","journal-title":"Trans. Pattern Anal. Mach. Intell."},{"key":"48_CR31","doi-asserted-by":"crossref","unstructured":"Yao, A., Gall, J., van Gool, L.: A hough transform-based voting framework for action recognition. In: CVPR (2010)","DOI":"10.1109\/CVPR.2010.5539883"},{"key":"48_CR32","unstructured":"Kl\u00e4ser, A., Marsza\u0142ek, M., Schmid, C., Zisserman, A.: Human focused action localization in video. In: International Workshop on Sign, Gesture, Activity (2010)"},{"key":"48_CR33","unstructured":"Lan, T., Wang, Y., Mori, G.: Discriminative figure-centric models for joint action localization and recognition. In: ICCV (2011)"},{"key":"48_CR34","doi-asserted-by":"crossref","unstructured":"Yu, G., Yuan, J.: Fast action proposals for human action detection and search. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298735"},{"key":"48_CR35","doi-asserted-by":"crossref","unstructured":"Jain, M., van Gemert, J., Jegou, H., Bouthemy, P., Snoek, C.: Action localization with tubelets from motion. In: CVPR (2015)","DOI":"10.1109\/CVPR.2014.100"},{"key":"48_CR36","doi-asserted-by":"crossref","unstructured":"Gkioxari, G., Malik, J.: Finding action tubes. In: CVPR (2015)","DOI":"10.1109\/CVPR.2015.7298676"},{"key":"48_CR37","doi-asserted-by":"crossref","unstructured":"van Gemert, J.C., Jain, M., Gati, E., Snoek, C.G.M.: APT: action localization proposals from dense trajectories. In: BMVC (2015)","DOI":"10.5244\/C.29.177"},{"key":"48_CR38","unstructured":"Chen, C.Y., Grauman, K.: Efficient activity detection with max-subgraph search. In: CVPR (2012)"},{"key":"48_CR39","doi-asserted-by":"crossref","unstructured":"Yu, G., Yuan, J., Liu, Z.: Unsupervised random forest indexing for fast action search. In: CVPR (2011)","DOI":"10.1109\/CVPR.2011.5995488"},{"key":"48_CR40","doi-asserted-by":"crossref","unstructured":"Su, Y.C., Grauman, K.: Leaving some stones unturned: dynamic feature prioritization for activity detection in streaming video. Technical report, Comp. Sci. Dept., Univ. Texas, Austin, AI-15-05 (2015)","DOI":"10.1007\/978-3-319-46478-7_48"},{"key":"48_CR41","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1007\/978-3-319-10590-1_5","volume-title":"Computer Vision \u2013 ECCV 2014","author":"MA Sadeghi","year":"2014","unstructured":"Sadeghi, M.A., Forsyth, D.: 30Hz object detection with DPM V5. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8689, pp. 65\u201379. Springer, Heidelberg (2014). doi: 10.1007\/978-3-319-10590-1_5"},{"key":"48_CR42","doi-asserted-by":"crossref","unstructured":"Yan, J., Lei, Z., Wen, L., Li, S.: The fastest deformable part model for object detection. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.320"},{"key":"48_CR43","unstructured":"Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: CVPR (2001)"},{"key":"48_CR44","doi-asserted-by":"crossref","unstructured":"Pedersoli, M., Vedaldi, A., Gonzalez, J.: A coarse-to-fine approach for fast deformable object detection. In: CVPR (2011)","DOI":"10.1109\/CVPR.2011.5995668"},{"key":"48_CR45","unstructured":"Weiss, D.J., Taskar, B.: Learning adaptive value of information for structured prediction. In: NIPS (2013)"},{"key":"48_CR46","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"647","DOI":"10.1007\/978-3-319-10605-2_42","volume-title":"Computer Vision \u2013 ECCV 2014","author":"J Wang","year":"2014","unstructured":"Wang, J., Bolukbasi, T., Trapeznikov, K., Saligrama, V.: Model selection by linear programming. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8690, pp. 647\u2013662. Springer, Heidelberg (2014). doi: 10.1007\/978-3-319-10605-2_42"},{"key":"48_CR47","doi-asserted-by":"crossref","unstructured":"Karasev, V., Ravichandran, A., Soatto, S.: Active frame, location, and detector selection for automated and manual video annotation. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.273"},{"issue":"11","key":"48_CR48","doi-asserted-by":"publisher","first-page":"2174","DOI":"10.1109\/TPAMI.2011.55","volume":"33","author":"D Chen","year":"2011","unstructured":"Chen, D., Bilgic, M., Getoor, L., Jacobs, D.: Dynamic processing allocation in video. IEEE Trans. Pattern Anal. Mach. Intell. 33(11), 2174\u20132187 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"48_CR49","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"187","DOI":"10.1007\/978-3-642-33765-9_14","volume-title":"Computer Vision \u2013 ECCV 2012","author":"MR Amer","year":"2012","unstructured":"Amer, M.R., Xie, D., Zhao, M., Todorovic, S., Zhu, S.-C.: Cost-sensitive top-down\/bottom-up inference for multiscale activity recognition. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012. LNCS, vol. 7575, pp. 187\u2013200. Springer, Heidelberg (2012). doi: 10.1007\/978-3-642-33765-9_14"},{"key":"48_CR50","doi-asserted-by":"crossref","unstructured":"Amer, M., Todorovic, S., Fern, A., Zhu, S.C.: Monte Carlo tree search for scheduling activity recognition. In: ICCV (2013)","DOI":"10.1109\/ICCV.2013.171"},{"key":"48_CR51","volume-title":"Artificial Intelligence: A Modern Approach","author":"S Russell","year":"2010","unstructured":"Russell, S., Norvig, P.: Artificial Intelligence: A Modern Approach. Pearson, Upper Saddle River (2010)"},{"key":"48_CR52","doi-asserted-by":"crossref","unstructured":"Gupta, A., Davis, L.S.: Objects in action: an approach for combining action understanding and object perception. In: CVPR (2007)","DOI":"10.1109\/CVPR.2007.383331"},{"key":"48_CR53","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: CVPR (2014)","DOI":"10.1109\/CVPR.2014.81"},{"issue":"9","key":"48_CR54","doi-asserted-by":"publisher","first-page":"1627","DOI":"10.1109\/TPAMI.2009.167","volume":"32","author":"PF Felzenszwalb","year":"2010","unstructured":"Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: Object detection with discriminatively trained part based models. PAMI 32(9), 1627\u20131645 (2010)","journal-title":"PAMI"},{"key":"48_CR55","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: NIPS (2015)"},{"key":"48_CR56","unstructured":"Nvidia: GPU-based deep learning inference: a performance and power analysis. Whitepaper (2015)"},{"key":"48_CR57","unstructured":"Soomro, K., Zamir, A.R., Shah, M.: UCF101: A dataset of 101 human actions classes from videos in the wild. arXiv preprint arXiv:1212.0402 (2012)"},{"key":"48_CR58","unstructured":"Simonyan, K., Zisserman, A.: Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556 (2014)"},{"issue":"1","key":"48_CR59","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L.: Random forests. Mach. Learn. 45(1), 5\u201332 (2001)","journal-title":"Mach. Learn."},{"key":"48_CR60","unstructured":"Lacoste-Julien, S., Jaggi, M., Schmidt, M., Pletscher, P.: Block-coordinate Frank-Wolfe optimization for structural SVMs. In: ICML (2013)"},{"key":"48_CR61","doi-asserted-by":"crossref","unstructured":"McCandless, T., Grauman, K.: Object-centric spatio-temporal pyramids for egocentric activity recognition. In: BMVC (2013)","DOI":"10.5244\/C.27.30"}],"container-title":["Lecture Notes in Computer Science","Computer Vision \u2013 ECCV 2016"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-46478-7_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,10]],"date-time":"2025-06-10T19:02:26Z","timestamp":1749582146000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-46478-7_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319464770","9783319464787"],"references-count":61,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-46478-7_48","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"16 September 2016","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ECCV","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"European Conference on Computer Vision","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Amsterdam","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"The Netherlands","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"14","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"eccv2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.eccv2016.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}