All Outputs (2)

Modeling spatial layout for scene image understanding via a novel multiscale sum-product network (2016)
Journal Article
Yuan, Z., Wang, H., Wang, L., Lu, T., Palaiahnakote, S., & Lim Tan, C. (2016). Modeling spatial layout for scene image understanding via a novel multiscale sum-product network. Expert systems with applications, https://doi.org/10.1016/j.eswa.2016.07.015

Semantic image segmentation is challenging due to the large intra-class variations and the complex spatial layouts inside natural scenes. This paper investigates this problem by designing a new deep architecture, called multiscale sum-product network... Read More about Modeling spatial layout for scene image understanding via a novel multiscale sum-product network.

Text segmentation in degraded historical document images (2016)
Journal Article
Kavitha, A., Shivakumara, P., Kumar, G., & Lu, T. (2016). Text segmentation in degraded historical document images. Egyptian Informatics Journal, 17(2), 189-197. https://doi.org/10.1016/j.eij.2015.11.003

Text segmentation from degraded Historical Indus script images helps Optical Character Recognizer (OCR) to achieve good recognition rates for Hindus scripts; however, it is challenging due to complex background in such images. In this paper, we prese... Read More about Text segmentation in degraded historical document images.