Recognition Kernel for Content-based Search
نویسندگان
چکیده
Search based on image contents is an important issue in Digital Library which usually relies on large image and video databases. A technique for content-based search (CBS) using a multi-level recognition kernel is presented. Features of model objects are extracted at levels that are most appropriate to yield only the necessary yet su cient details. Together they form the kernel. It is shown that the deployment of the recognition kernel in a pyramidal (multiresolution) framework facilitates multi-level abstraction of the model and hence improves the matching e ciency and quality. Preliminary experimental result from a small image database is presented.
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