A Hierarchical Representation for Content-based Image Retrieval
نویسندگان
چکیده
In this paper, we present a hierarchical entropy-based representation (HER) for one-dimensional signals. Any signal can be effectively represented by means of a vector containing the energy values related to its most important points, i.e. the maxima, together with their relative locations along the time axis. Such a representation has been applied to a database containing several shapes represented by their closed contour in curvilinear coordinates in order to perform content-based retrieval for time series. K-d-trees have been used as a spatial access method in order to improve the search performance. The results obtained from our experiments show that HER for indexing (HERI) achieves very good performance with few false alarms and false dismissals. ( 2000 Academic Press
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ورودعنوان ژورنال:
- J. Vis. Lang. Comput.
دوره 11 شماره
صفحات -
تاریخ انتشار 2000