Abstract
Content based image retrieval (CBIR) has been researched for decades. However, the "semantic gap" which exists between low-level features and human semantics still remains an unsolved problem. Region based image retrieval (RBIR) was proposed to bridge this gap in some extent. Beyond the pixel values in the image, what other information can also be used? The other information we use is Exif, which records the snapping condition of camera metadata. In this paper we propose an method that combines region low level features of image and camera metadata for image retrieval. Experimental results show the efficiency of our method than the traditional CBIR.
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Ma, J., Lu, H., Guo, Y. (2007). Region Based Image Retrieval Incorporated with Camera Metadata. In: Qiu, G., Leung, C., Xue, X., Laurini, R. (eds) Advances in Visual Information Systems. VISUAL 2007. Lecture Notes in Computer Science, vol 4781. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76414-4_9
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DOI: https://doi.org/10.1007/978-3-540-76414-4_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-76413-7
Online ISBN: 978-3-540-76414-4
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