A Multidimensional Approach in Content-based Multimedia Information Retrieval System
In this digital era, the use of digital multimedia information is highly utilized and growing very rapidly due to the development of the Internet. Thus, users demand for more effective content-based multimedia information retrieval system (CBMMIRS). The major challenge in this research area is that a multimedia document comprises more than one type of contents (i.e. text, image, audio). In order to address this challenge, many works have been focusing on the indexing techniques development which can accommodate multiple multimedia object representation or known as object features. However, most of the experiments use only one certain kind of collection, for example a collection of WWW pages, video collections, image collections, and so forth. In this paper, we propose a multidimensional approach which could accommodates semantic indexing of various multimedia contents in different multimedia collections, since the fact is that different multimedia documents may share similar information. The architecture comprises three components: (1) collection manager (which manages multimedia documents repository); (2) indexer (which handles multimedia concept detection and indexing); and (3) query processor (which deals with query and search results). Our hypothesis is that the more complete the document (which indexed in many different feature spaces), the more relevant the document and should be ranked higher in the search results.
CBMMIRS multimedia informationretrieval multidimensional approach
Indra Budi Zainal A. Hasibuan Gema P. Mindara Albaar Rubhasy
Faculty of Computer Science University of Indonesia Depok, Indonesia Department of Computer System STMIK Indonesia Jakarta, Indonesia
国际会议
海口
英文
152-155
2011-07-15（万方平台首次上网日期，不代表论文的发表时间）