Video events recognition is a challenging task for high-level understanding of video se- quence. At present, there are two major limitations in existing methods for events recognition. One is that no algorithms are av...Video events recognition is a challenging task for high-level understanding of video se- quence. At present, there are two major limitations in existing methods for events recognition. One is that no algorithms are available to recognize events which happen alternately. The other is that the temporal relationship between atomic actions is not fully utilized. Aiming at these problems, an algo- rithm based on an extended stochastic context-free grammar （SCFG） representation is proposed for events recognition. Events are modeled by a series of atomic actions and represented by an extended SCFG. The extended SCFG can express the hierarchical structure of the events and the temporal re- lationship between the atomic actions. In comparison with previous work, the main contributions of this paper are as follows： ① Events （include alternating events） can be recognized by an improved stochastic parsing and shortest path finding algorithm. ② The algorithm can disambiguate the detec- tion results of atomic actions by event context. Experimental results show that the proposed algo- rithm can recognize events accurately and most atomic action detection errors can be corrected sim- ultaneously.展开更多
人格的认知—情感系统理论(cognitive-affective system theory of personality,简称CAPS)被视为是与大五人格理论齐名的一种人格理论。该文拟从个体外部的人际关系层面来阐述该理论,以加深对理论的理解。然后,又从CAPS与其它人际关系...人格的认知—情感系统理论(cognitive-affective system theory of personality,简称CAPS)被视为是与大五人格理论齐名的一种人格理论。该文拟从个体外部的人际关系层面来阐述该理论,以加深对理论的理解。然后,又从CAPS与其它人际关系理论的契合说明该理论是一种整合性的人格理论。最后,指出了CAPS的优点和局限性,并由此对人格研究的未来发展方向进行了探讨。展开更多
基金Supported by the National Natural Science Foundation of China(60805028,60903146)Natural Science Foundation of Shandong Province of China (ZR2010FM027)+1 种基金SDUST Research Fund(2010KYTD101)China Postdoctoral Science Foundation(2012M521336)
文摘Video events recognition is a challenging task for high-level understanding of video se- quence. At present, there are two major limitations in existing methods for events recognition. One is that no algorithms are available to recognize events which happen alternately. The other is that the temporal relationship between atomic actions is not fully utilized. Aiming at these problems, an algo- rithm based on an extended stochastic context-free grammar （SCFG） representation is proposed for events recognition. Events are modeled by a series of atomic actions and represented by an extended SCFG. The extended SCFG can express the hierarchical structure of the events and the temporal re- lationship between the atomic actions. In comparison with previous work, the main contributions of this paper are as follows： ① Events （include alternating events） can be recognized by an improved stochastic parsing and shortest path finding algorithm. ② The algorithm can disambiguate the detec- tion results of atomic actions by event context. Experimental results show that the proposed algo- rithm can recognize events accurately and most atomic action detection errors can be corrected sim- ultaneously.
文摘人格的认知—情感系统理论(cognitive-affective system theory of personality,简称CAPS)被视为是与大五人格理论齐名的一种人格理论。该文拟从个体外部的人际关系层面来阐述该理论,以加深对理论的理解。然后,又从CAPS与其它人际关系理论的契合说明该理论是一种整合性的人格理论。最后,指出了CAPS的优点和局限性,并由此对人格研究的未来发展方向进行了探讨。
