Traditional image retrieval Traditional techniques for image retrieval rely on some metadata (i.e., keywords or captions of image) It isn’t a good method for practical applications since it is labor intensive and need more space.
Content-based image retrieval Content-based image retrieval(CBIR) is using image’s feature for retrieval. Query-by-example Query-by-sketch Relevance feedback technique
Identifying landmarks with skylines Region-growing-based Using same color region extend find the skylines Weak robustness on the sky with cloud or complex background Edge-based Edge detection Retaining the points which are luminous intensity change sharply Using other method to find clear skyline.
Conclusions This is a feasible for landmark image retrieval. If there are more line cross the image? If sky have complex object(ex. Light or cloud…)? If the beginning point is not in skyline? More problem need to solving…