Download PDF by Hideyasu Sasaki: Intellectual Property Protection for Multimedia Information

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1999). Image retrieval: Current techniques, promising directions and open issues. Journal of Visual Communication and Image Representation, 10(4), 39-62. Samuelson, P. (1996). Legally speaking: Legal protection for database content. Communications of the ACM, 39(12), 17-23. , & Kiyoki, Y. (2002). A methodology to protect multimedia databases by patentable programs of indexing and retrieval based-on semantic similarity. IPS of Japan Transactions on Databases, 43(13), 108-127. (in Japanese). , & Kiyoki, Y.

CASE STUDy Brain Tumor Spatial and Temporal Image Retrieval System (Developed by UCLA) In this section, we clarify the feasible and infeasible cases of the proposed protection. We have applied the formulated conditions to digital libraries as instances of its case study: several medical image retrieval systems that are formed based on the domain-specific approach of CBIR. We present four typical cases of medical image retrieval systems that are developed by the following institutes, respectively: The University of Maryland in images of abdomen tumor (Korn, The instant system applies knowledge about visual features known as user-defined “type abstraction hierarchy” (TAH) to content-based spatial and temporal classification of brain disease images.

Thus, when any set of images, classes of similar images, and signs forms a well-ordered point sequence subject to natural numbering in respective sets, existence of continuous mappings between respective sets is equivalent to convergence of elements of respective sets into maximal or representative elements of compact sets in any distance space. Step 2 (b) assures that there always exists a continuous mapping between any class of similar 0 Assurance of Real Existence of Representative Elements in Related Sets Here, we have a purpose to prove the following thesis: A certain specified domain should always have exclusive classification of representative elements that exist in real related sets.

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