Abstract
Digital cameras have made it much easier to take photos, but organizing those photos is difficult. As a result, many people have thousands of photos in some miscellaneous folder on their hard disk . If computer can understand and manage these photos for us, we can save time. Also it will be useful for indexing and searching the web images. In this paper we propose an image annotation system with concept level search using PLSA+CCA,which generates the appropriate keywords to annotate the query image using large-scale image database.
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Zheng, Y., Takiguchi, T., Ariki, Y. (2011). Image Annotation with Concept Level Feature Using PLSA+CCA. In: Lee, KT., Tsai, WH., Liao, HY.M., Chen, T., Hsieh, JW., Tseng, CC. (eds) Advances in Multimedia Modeling. MMM 2011. Lecture Notes in Computer Science, vol 6524. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17829-0_43
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DOI: https://doi.org/10.1007/978-3-642-17829-0_43
Publisher Name: Springer, Berlin, Heidelberg
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