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Realistic human action recognition in videos has been a useful yet challenging task. Video shots of same actions may present huge intra-class variations in terms of visual appearance, kinetic patterns, video shooting, and editing styles. Heterogeneous feature representations of videos pose another challenge on how to effectively handle the redundancy, complementariness and disagreement in these features...
Most current research on human action recognition in videos uses the bag-of-words (BoW) representations based on vector quantization on local spatial temporal features, due to the simplicity and good performance of such representations. In contrast to the BoW schemes, this paper explores a localized, continuous and probabilistic video representation. Specifically, the proposed representation encodes...
Based on the questionnaire of the Yangtze Deltapsilas Knowledge Intensive Business Service (KIBS), this paper analyzes barriers to service innovation from the perspective of the industry, scale and level of innovation, and finds that the protection of innovation, human resource and financial support of innovation are most important to Chinese KIBSpsila service innovation.
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