NDLI: A discriminative spatial bag-of-word scheme with distinct patch

Content Provider	IEEE Xplore Digital Library
Author	Junfeng Wu Wenyu Qu Hongbin Hu Zhiyang Li Yujie Xu Ye Tao
Copyright Year	2014
Description	Author affiliation: Educ. Technol. & Comput. Center, Dalian Ocean Univ., Dalian, China (Ye Tao) \|\| Sch. of Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China (Junfeng Wu; Wenyu Qu; Zhiyang Li; Yujie Xu) \|\| Inner Mongolia Electr. Power Res. Insitute, Huhot, China (Hongbin Hu)
Abstract	In the past few years, Bag of Word (BOW) plays an important role in the field of image retrieval and automatic annotation especially in large scale image databases. However, in practice, the spatial location information of visual word is often ignored. Despite much previous work, it remains a challenging task to extract the spatial location information of visual word. Recently, salient object detection has been attracting lots of interest and obtains a series of satisfactory results. In this paper, the novel approach can encode spatial location information into standard BOW representation which utilize salient object in the image. The proposed approach is so simple, yet useful and efficient enough to be applied in large-scale databases. The main properties of this approach are: (1) the potential strength of visual word's spatial location information is extracted and a novel BOW scheme is proposed. (2) the advantage of standard BOW scheme is still retained such as rotational invariance, translational invariance and scaling invariance. (3) The new BOW scheme could significantly enhance the discriminative power. We evaluate our new framework on the standard dataset and the results have shown a significant improvement over the state-of-the-art methods.
Starting Page	266
Ending Page	271
File Size	594408
Page Count	6
File Format	PDF
ISBN	9781479939022
e-ISBN	9781479939039
DOI	10.1109/ICALIP.2014.7009798
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	saliency score Visualization Vocabulary Histograms Image color analysis distinct patch Image retrieval spatial location information Feature extraction BOW Standards
Content Type	Text
Resource Type	Article

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