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CIVR
2006
Springer
131views Image Analysis» more  CIVR 2006»
15 years 1 months ago
Exploring the Synergy of Humans and Machines in Extreme Video Retrieval
We introduce an interface for efficient video search that exploits the human ability to quickly scan visual content, after automatic retrieval has arrange the images in expected or...
Alexander G. Hauptmann, Wei-Hao Lin, Rong Yan, Jun...
MIR
2004
ACM
176views Multimedia» more  MIR 2004»
15 years 3 months ago
Analysing the performance of visual, concept and text features in content-based video retrieval
This paper describes revised content-based search experiments in the context of TRECVID 2003 benchmark. Experiments focus on measuring content-based video retrieval performance wi...
Mika Rautiainen, Timo Ojala, Tapio Seppänen
MM
2006
ACM
221views Multimedia» more  MM 2006»
15 years 3 months ago
Video object segmentation by motion-based sequential feature clustering
Segmentation of video foreground objects from background has many important applications, such as human computer interaction, video compression, multimedia content editing and man...
Mei Han, Wei Xu, Yihong Gong
MIR
2010
ACM
163views Multimedia» more  MIR 2010»
14 years 11 months ago
SNDocRank: a social network-based video search ranking framework
Multimedia ranking algorithms are usually user-neutral and measure the importance and relevance of documents by only using the visual contents and meta-data. However, users’ int...
Liang Gou, Hung-Hsuan Chen, Jung-Hyun Kim, Xiaolon...
IPM
2010
133views more  IPM 2010»
14 years 8 months ago
A concept-relationship acquisition and inference approach for hierarchical taxonomy construction from tags
Taxonomy construction is a resource-demanding, top down, and time consuming effort. It does not always cater for the prevailing context of the captured information. This paper pro...
Eric Tsui, W. M. Wang, Chi Fai Cheung, Adela S. M....