NDLI: Discriminative Soft Bag-of-Visual Phrase for Mobile Landmark Recognition

Content Provider	IEEE Xplore Digital Library
Author	Tao Chen Kim-Hui Yap Dajiang Zhang
Copyright Year	1999
Abstract	This paper proposes a new bag-of-visual phrase (BoP) approach for mobile landmark recognition based on discriminative learning of category-dependent visual phrases. Many previous landmark recognition works adopt a bag-of-words (BoW) method which ignores the co-occurrence relationship between neighboring visual words in an image. Although some works that focus on visual phrase learning have appeared, they mainly construct a generalized phrase dictionary from all categories for recognition, which lacks descriptive capability for a specific category. Another shortcoming of these works is the hard assignment of numerous feature sets to a limited number of phrases, which causes some useful feature sets to be discarded, and yields information loss. In view of this, this paper presents a discriminative soft BoP approach for mobile landmark recognition. The candidate phrases defined as adjacent pairwise codewords are first generated for each category. The important candidates are then selected through a proposed discriminative visual phrase (DVP) selection approach to form the BoP dictionary. Finally, a soft encoding method is developed to quantize each image into a BoP histogram. The context information such as location and direction captured by mobile devices is also integrated with the proposed BoP-based content analysis for landmark recognition. Experimental results on two datasets show that the proposed method is effective in mobile landmark recognition.
Sponsorship	IEEE Signal Processing Society IEEE Circuits and Systems Society IEEE Communications Society IEEE Computer Society
Starting Page	612
Ending Page	622
Page Count	11
File Size	1842894
File Format	PDF
ISSN	15209210
Volume Number	16
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Mobile communication Materials Dictionaries Histograms Mobile handsets Feature extraction soft BoP Location and direction mobile landmark recognition
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Science Applications Media Technology

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