Combining Low-Level Features for Semantic Extraction in Image Retrieval
نویسندگان
چکیده
منابع مشابه
Combining Low-Level Features for Semantic Extraction in Image Retrieval
An object-oriented approach for semantic-based image retrieval is presented. The goal is to identify key patterns of specific objects in the training data and to use them as object signature. Two important aspects of semantic-based image retrieval are considered: retrieval of images containing a given semantic concept and fusion of different low-level features. The proposed approach splits the ...
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Image retrieval (IR) generally is known as a collection of techniques for retrieving images on the basis of features, either low-level (content-based IR) or high-level (semantic-based IR). Since semantic-based features rely on low-level ones, in this chapter the reader initially is familiarized with the most widely used low-level features. An efficient way to present these features is by means ...
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ژورنال
عنوان ژورنال: EURASIP Journal on Advances in Signal Processing
سال: 2007
ISSN: 1687-6180
DOI: 10.1155/2007/61423