This paper describes a multimedia, multilingual and multimodal research system called CIMWOS (Combined IMage and WOrd Spotting). CIMWOS incorporates an extensive set of multimedia...
Nick Hatzigeorgiu, Nikolaos Sidiropoulos, Harris P...
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
Increasing application demands are pushing database management systems (DBMSs) towards providing adequate and efficient support for content-based retrieval over multimedia objects...
While multimedia documents are sequentially presented to users, an information filtering (IF) system is useful to achieve a good retrieval performance in terms of both quality and ...
Dianhui Wang, Xiaodi Huang, Yong-Soo Kim, Joon Shi...
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...