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- W2121379173 abstract "Search algorithms for objects of interest (OOIs) related to shape similarity in a video or image library have been implemented by various research groups. This work focuses on the search of a sample object (a car) in video sequences and images related to the shape similarity. We also investigate a new description for cars, using relational graphs. The goal of this study is to investigate the shape matching method based on a relational graph of objects, with respect to its accuracy, efficiency and scalability. The aim is to annotate the images where an OOI is present. Then, text-based querying can be performed to extract images of the OOI from a pre-processed database. The graph-based description of the object, with its meaningful parts, provides an efficient way to obtain high-level semantics from low-level features. The hierarchical segmentation increases the object detection accuracy in transformed and occluded images." @default.
- W2121379173 created "2016-06-24" @default.
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- W2121379173 date "2003-01-20" @default.
- W2121379173 modified "2023-10-16" @default.
- W2121379173 title "A graph based object description for information retrieval in digital image and video libraries" @default.
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- W2121379173 doi "https://doi.org/10.1109/ivl.1999.781128" @default.
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