In-Picture Search Algorithm for Content-Based Image Retrieval

Researchers are currently more interested in searching for fragments that are similar to a query, than a total data item that is similar to a query; the search interest is for "contains", not "is". This paper presents an )(lognO algorithm, called the "generalized virtual node (GVN)" algorithm; the GVN algorithm is a search algorithm for data fragments that have similar contents to that of a query. An example of the use of the GVN algorithm is in the search of an image database for a certain picture object regardless to what their picture backgrounds are. Each image is transformed into characteristic features and these features are stored in a hierarchical multidimensional structure, called a "k-tree." The k-tree is exploited to build a unified retrieval model for any types of multimedia data. The experimental results of this "in-picture" search algorithm on an image database demonstrate a search quality is qualitatively and quantitativ...

• Type: Conference
• Year: 1999
• Where: ICIP
• Authors: Punpiti Piamsa-nga, Nikitas A. Alexandridis, Sanan Srakaew, George C. Blankenship Jr., S. R. Subramanya
• Keywords: )(lognO Algorithm, GVN Algorithm, ICIP 1999, Image Processing, Search Algorithm