NDLI: Object detection.

Content Provider	CiteSeerX
Author	Liu, Yuee Zhang, Jinglan Tjondronegoro, Dian Geva, Shlomo Li, Zhengrong
Abstract	Semantic object detection is one of the most important and challenging problems in image analysis. Segmentation is an optimal approach to detect salient objects, but often fails to generate meaningful regions due to over-segmentation. This paper presents an improved semantic segmentation approach which is based on JSEG algorithm and utilizes multiple region merging criteria. The experimental results demonstrate that the proposed algorithm is encouraging and effective in salient object detection.
File Format	PDF
Access Restriction	Open
Subject Keyword	Object Detection Challenging Problem Semantic Object Detection Meaningful Region Image Analysis Salient Object Utilizes Multiple Region Optimal Approach Improved Semantic Segmentation Approach Salient Object Detection Jseg Algorithm Experimental Result
Content Type	Text
Resource Type	Article

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