https://scholars.lib.ntu.edu.tw/handle/123456789/502340
Title: | Object-based on-line video summarization for internet of video things | Authors: | Lin, S.-T. Liao, Y.-H. Tsao, Y. SHAO-YI CHIEN |
Issue Date: | 2017 | Source: | Proceedings - IEEE International Symposium on Circuits and Systems | Abstract: | In order to address the high transmission bandwidth requirement of an Internet-of-Video-Things (IoVT), an object-based on-line video summarization algorithm is proposed to summarize the captured video information at the sensor nodes before being transmitted to the server. It is composed of two stages: intra-view and inter-view stages. In the intra-view stage, human object detector is employed with the proposed human object descriptor. In the inter-view stage, an on-line clustering algorithm with a two-layer K-nearest-neighbor model is also proposed for object clustering. Experimental results show that significant improvement can be achieved when compared with state-of-the-art works. © 2017 IEEE. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/502340 | ISSN: | 02714310 | DOI: | 10.1109/ISCAS.2017.8050237 | SDG/Keyword: | Nearest neighbor search; Object detection; Sensor nodes; Video recording; High transmission; K-nearest neighbors; Object based; Object clustering; Object detectors; State of the art; Video information; Video summarization; Clustering algorithms |
Appears in Collections: | 電機工程學系 |
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