In recent years, theories of image and sound analysis have been proposed to work with text retrieval systems and have progressed quickly with the rapid progress in data processing speeds. This study proposes a common representation format for multimedia documents (CRFMD) composed of both images and text to form a single data structure. It also shows that image classification of a given test set is dramatically improved when text features are encoded together with image features. CRFMD might be applicable to other areas of multimedia document retrieval and processing, such as medical image retrieval, World Wide Web searching, and museum collection retrieval.
(c.c.1982). Picture Information Measures for Similarity. , -.
(2000). Fundamentals of Geographic Information Systems. , -.
(1999). Content-based Image Retrieval:A Report to the JISC Technology Applications Programme. , -.
(2001). A General Definition of the Lorenz Curve. 39, 1037-1039.
(2001). An Open Source Agenda for Research Linking Text and Image Content Features. 52(11), 948-953.
(2001). Image Retrieval by Content Measure Metadata Coding. , -.
(2001). A Conceptual Framework and Empirical Research for Classifying Visual Descriptors. 52, 938-947.
(1997). Information Storage and Retrieval. , -.
C.L. 1977. Elements of Discrete Mathematics. McGraw-Hill. , -.
(1998). Content-based 3-D Neuroradiologic Image Retrieval: Preliminary Results. , 91-100.
Methods of measuring the Concentration of Wealth J. of Amer.. , -.
(1997). Comparing Major US OPAC Systems for Developing Countries. 47(4), 234-242.
(2000). A Common Representation Format for Multimedia Documents. , -.
(2004). Text Retrieval using the Vector Processing Model. , 9-22.
(2000). A Review of Content-Based Image Retrieval Systems. , -.