&lt;title&gt;Evaluation of feature measures and similarity measures for content-based retrieval&lt;/title&gt;

Wu, Jiankang; Lam, C. P.; Senthilkumar, G.

doi:10.1117/12.227248

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“…Evaluation of content-based retrieval is a critical issue in developing a good content-based retrieval engine. We have studied the problem and proposed a method [23].…”

Section: Resultsmentioning

confidence: 99%

Content-based indexing of multimedia databases

1997

IEEE Trans. Knowl. Data Eng.

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Abstract-Content-based retrieval of multimedia database calls for content-based indexing techniques. Different from conventional databases, where data items are represented by a set of attributes of elementary data types, multimedia objects in multimedia databases are represented by a collection of features; similarity of object contents depends on context and frame of reference; and features of objects are characterized by multimodal feature measures. These lead to great challenges for content-based indexing. On the other hand, there are special requirements on content-based indexing: To support visual browsing, similarity retrieval, and fuzzy retrieval, nodes of the index should represent certain meaningful categories.

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“…Evaluation of content-based retrieval is a critical issue in developing a good content-based retrieval engine. We have studied the problem and proposed a method [23].…”

Section: Resultsmentioning

confidence: 99%