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User-generated images are now prevalent across social media platforms, such as Facebook, Twitter, and various blogospheres. These images can be categorized and ranked based on their relevant topics. In this paper, we present and compare candidate schemes for mining salient images related to a specific topic or object among a large number of images from a blogosphere. Identifying salient images consists...
In this paper, we have developed a novel algorithm for book image retrieval that can find test book images accurately and efficiently. In our proposed algorithm, SIFT Vocabulary tree is first used to model the local information and to get the preliminary results. The final result is determined via multi-features joint decision. The multi-features are SIFT density, SIFT distribution histogram, edge...
User-generated images are now prevalent across social media platforms, such as Facebook, Twitter, and various blogospheres. These images can be categorized and ranked based on their relevant topics. In this paper, we present and compare candidate schemes for mining salient images related to a specific topic or object among a large number of images from a blogosphere. Identifying salient images consists...
In this paper we implement a vision based moving Object Tracking system with Wireless Surveillance Camera which uses a color image segmentation and color histogram with background subtraction for tracking any objects in non-ideal environment. The implementation of the moving video objects can be based on any one of the tracking algorithms such as Template matching, Continuously Adaptive Mean Shift...
This paper presents a new method for satellite image classification. Specifically, we make two main contributions: (1) we introduce the sparse coding method for high-resolution satellite image classification; (2) we effectively combine a set of diverse and complementary features-SIFT, Color Histogram and Gabor to further improve the performance. A two-stage linear SVM classifier is designed for this...
In order to address vulnerability of color histogram to similar background and similar objects, a MeanShift-Particle amalgamative algorithm based on SIFT is set up, which takes advantage of Spatio Histogram and SIFT descriptors. According to the definition of SIFT match rate parameters, traditional particle filter algorithm, SIFT-particle filter algorithm and MeanShift algorithm are amalgamated effectively...
An object tracking algorithm based on the particle filter framework is proposed in this paper for video surveillance applications. The color histogram is combined with a scale invariant feature transform (SIFT) descriptor to represent the likelihood between the candidates and observed objects. They are then incorporated into the particle filter based tracking algorithm in order to achieve more robust...
An approach of road crossing scene recognition based on scale invariant feature transform (SIFT) and color features is proposed in this paper. Firstly, the SIFT features are extracted and the color histogram in HSI space is calculated. Secondly, the K-D trees algorithm is used to match SIFT features of images in road crossing images database, and Bhattacharyya distance match result is calculated by...
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