A linear-time component-labeling algorithm using contour tracing technique
Computer Vision and Image Understanding
Camera-Based Document Image Retrieval as Voting for Partial Signatures of Projective Invariants
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Distance Measures for Layout-Based Document Image Retrieval
DIAL '06 Proceedings of the Second International Conference on Document Image Analysis for Libraries
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Introduction to Information Retrieval
Introduction to Information Retrieval
Document Image Retrieval through Word Shape Coding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sketch-based retrieval of complex drawings using hierarchical topology and geometry
Computer-Aided Design
Scalable indexing for layout based document retrieval and ranking
Proceedings of the 2010 ACM Symposium on Applied Computing
Spatial relation for geometrical / topological map retrieval
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
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Today, the keyword retrieval method is most standard and popular, and has been widely used in many applications. However, even the keyword retrieval method cannot always satisfy various types of information search subjects, because various kinds of information resources such as image data, graphics data, etc. must be managed in multi-media society, in addition to the word-dependent information. Of course, the methods which are more or less applicable to the characteristics of data resources such as structure, design, application, usage, volumn, etc., are necessary to make information-based activities of users successful. In this paper, we address a document page retrieval method based on the characteristics of page layout structure. Although the keyword retrieval method is a very excellent means in document page retrieval, we must pay attention to the case that keyword are not necessarily effective: it is not easy for foreigners to use keywords in different language or it is difficult for children to remember unknown words. In our method, the main idea is to focus on the geometric/positional relationships between characteristic components in identifying the document pages. Moreover, our original viewport is to introduce the inverted index, used commonly in the conventional information retrieval systems, but not to make use of structural/spatial relationship between characteristic components, which are standard in traditional map retrieval systems.