https://scholars.lib.ntu.edu.tw/handle/123456789/502340
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Lin, S.-T. | en_US |
dc.contributor.author | Liao, Y.-H. | en_US |
dc.contributor.author | Tsao, Y. | en_US |
dc.contributor.author | SHAO-YI CHIEN | - |
dc.creator | Lin, S.-T.;Liao, Y.-H.;Tsao, Y.;Chien, S.-Y. | - |
dc.date.accessioned | 2020-06-16T06:38:08Z | - |
dc.date.available | 2020-06-16T06:38:08Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 02714310 | - |
dc.identifier.uri | https://scholars.lib.ntu.edu.tw/handle/123456789/502340 | - |
dc.description.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. | - |
dc.relation.ispartof | Proceedings - IEEE International Symposium on Circuits and Systems | - |
dc.subject.other | 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 | - |
dc.title | Object-based on-line video summarization for internet of video things | en_US |
dc.type | conference paper | en |
dc.identifier.doi | 10.1109/ISCAS.2017.8050237 | - |
dc.identifier.scopus | 2-s2.0-85032698093 | - |
item.cerifentitytype | Publications | - |
item.fulltext | no fulltext | - |
item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
item.openairetype | conference paper | - |
item.grantfulltext | none | - |
crisitem.author.dept | Electronics Engineering | - |
crisitem.author.dept | Electrical Engineering | - |
crisitem.author.dept | Intel-NTU Connected Context Computing Center | - |
crisitem.author.dept | Networking and Multimedia | - |
crisitem.author.dept | MediaTek-NTU Research Center | - |
crisitem.author.orcid | 0000-0002-0634-6294 | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
crisitem.author.parentorg | Others: International Research Centers | - |
crisitem.author.parentorg | College of Electrical Engineering and Computer Science | - |
crisitem.author.parentorg | Others: University-Level Research Centers | - |
顯示於: | 電機工程學系 |
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