1,721,115 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A Method Using Morphology and Histogram for Object-based Retrieval in Image and Video Databases
We propose a method for object-based retrieval in image and video databases. In doing so, both color and shape information is taken into account to enrich the querying capabilities for object-based retrieval. The morphological operations are performed on each uniform color region. We use three kinds of histograms: color histogram, distance histogram, and angle histogram. It is shown that the proposed approach is invariant to scaling, rotation, and translation. Finally, performance experiments are carried out by the evaluation of the effectiveness and the robustness of the proposed method. Key words: Object-based retrieval, Uniform color region, Image and vide
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