Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Shusheng Cen"'
Publikováno v:
Telecommunication Systems. 59:401-413
This study addresses an automatic approach to analyze the structure of large scale web videos based on visual and acoustic information. In our approach, video streams are macro-segmented via mining the duplicate sequences. Acoustic and visual informa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3052a9a3cc8b726624c03da87ee7e627
https://doi.org/10.1007/s11235-014-9945-9
https://doi.org/10.1007/s11235-014-9945-9
Publikováno v:
Telecommunication Systems. 59:381-391
In this paper, an algorithm is proposed to summarize sports videos based on viewpoints in TV broadcasts for sports genre classification. The redundancy of multiple views is one of the principal limitations in sports genre classification. In order to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4697437831022075ad8ee7e15b4578b
https://doi.org/10.1007/s11235-014-9943-y
https://doi.org/10.1007/s11235-014-9943-y
Publikováno v:
ICME Workshops
This paper introduces our system competing in MSR-Bing Image Retrieval Challenge at ICME 2014. The task of the challenge is to rank images by their relevance to a given topic, by leveraging cues hidden in search engine's click log. With the successfu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b5cef04e3d9475514c60e9e94a9166b
https://doi.org/10.1109/icmew.2014.6890605
https://doi.org/10.1109/icmew.2014.6890605
Publikováno v:
2013 5th IEEE International Conference on Broadband Network & Multimedia Technology.
In this paper, we propose a novel method for learning a compact codebook in large-scale image dataset. In the past few years, bag-of-visual-words model has been proven to be effective and efficient in multiple multimedia tasks including object retrie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99fc692904e7241ade8917cf811cc1f1
https://doi.org/10.1109/icbnmt.2013.6823910
https://doi.org/10.1109/icbnmt.2013.6823910
Publikováno v:
ICASSP
Image search reranking has become a widely-used approach to significantly boost retrieval performance in the state-of-art content-based image retrieval system. Most of the methods merely rely on matching visual distances between query and initial res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4138875301f85c564f3289c742e8a748
https://doi.org/10.1109/icassp.2013.6637935
https://doi.org/10.1109/icassp.2013.6637935
Publikováno v:
ICASSP
The state of the art in query expansion is mainly based on the spatial information. These methods achieve high performance, however, suffer from huge computation and memory. The objective of this paper is to perform visual reranking in near-real time
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::110b78623b3332d91a004d4b3cb4bb95
https://doi.org/10.1109/icassp.2013.6637936
https://doi.org/10.1109/icassp.2013.6637936
Publikováno v:
IC-NIDC
In this paper, a fast color feature is presented for real-time image retrieval. The feature is based on Dense SIFT (DSIFT) in the multi-scale RGB space. A new sum function is proposed to accelerate feature extraction instead of Gaussian weighting fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::053e2d3c0daf83e152b100d4c383c00a
https://doi.org/10.1109/icnidc.2012.6418794
https://doi.org/10.1109/icnidc.2012.6418794
Publikováno v:
2014 IEEE International Conference on Multimedia & Expo Workshops (ICMEW); 2014, p1-4, 4p