caa a22 4500 605540551 CHVBK 20210128100912.0 cr unu---uuuuu 210128e20151001xx s 000 0 eng 10.1007/s00371-014-1020-8 doi (NATIONALLICENCE)springer-10.1007/s00371-014-1020-8 Augmenting bag-of-words: a robust contextual representation of spatiotemporal interest points for action recognition [Elektronische Daten] [Yang Li, Junyong Ye, Tongqing Wang, Shijian Huang] Although traditional bag-of-words model, together with local spatiotemporal features, has shown promising results for human action recognition, it ignores all structural information of features, which carries important information of motion structures in videos. Recent methods usually characterize the relationship of quantized spatiotemporal features to overcome this drawback. However, the propagation of quantization error leads to an unreliable representation. To alleviate the propagation of quantization error, we present a coding method, which considers not only the spatial similarity but also the reconstruction ability of visual words after giving a probabilistic interpretation of coding coefficients. Based on our coding method, a new type of feature called cumulative probability histogram is proposed to robustly characterize contextual structural information around interest points, which are extracted from multi-layered contexts and assumed to be complementary to local spatiotemporal features. The proposed method is verified on four benchmark datasets. Experiment results show that our method can achieve better performance than previous methods in action recognition. Springer-Verlag Berlin Heidelberg, 2014 Action recognition nationallicence Contextual features nationallicence Cumulative probability histogram nationallicence Sparse coding nationallicence Li Yang Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education, Chongqing University, Chongqing, China aut Ye Junyong Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education, Chongqing University, Chongqing, China aut Wang Tongqing Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education, Chongqing University, Chongqing, China aut Huang Shijian Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education, Chongqing University, Chongqing, China aut The Visual Computer Springer Berlin Heidelberg 31/10(2015-10-01), 1383-1394 0178-2789 31:10<1383 2015 31 371 https://doi.org/10.1007/s00371-014-1020-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-1020-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Yang Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education, Chongqing University, Chongqing, China aut NATIONALLICENCE 700 1- Ye Junyong Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education, Chongqing University, Chongqing, China aut NATIONALLICENCE 700 1- Wang Tongqing Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education, Chongqing University, Chongqing, China aut NATIONALLICENCE 700 1- Huang Shijian Key Laboratory of Optoelectronic Technology and Systems of the Ministry of Education, Chongqing University, Chongqing, China aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/10(2015-10-01), 1383-1394 0178-2789 31:10<1383 2015 31 371