Abstract
Large-scale visual data understanding is a long-standing popular problem in the computer vision society. When more visual data become available, problems become more challenging to traditional approaches. In this chapter, we will briefly review three important research problems, indoor/outdoor classification, outdoor scene categorization and geometric labeling. In addition, we will provide an overview of the book and its perspective benefits to the readers.
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Chen, C., Ren, Y., Kuo, CC.J. (2016). Introduction. In: Big Visual Data Analysis. SpringerBriefs in Electrical and Computer Engineering(). Springer, Singapore. https://doi.org/10.1007/978-981-10-0631-9_1
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DOI: https://doi.org/10.1007/978-981-10-0631-9_1
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