This paper explains the approach proposed by Bilkent RETINA team for the Retrieving Diverse Social Images task of MediaEval 2014 [1]. We develop a framework which first removes outliers using one-class support vector machines (SVM) to improve relevance. Second it clusters the eliminated set and retrieves the centroids to diversify the results. We tried to exploit visual only features during our...

This paper proposes an online tracking method which has been inspired by studying the effects of Scale Invariant Feature Transform (SIFT) when applied to objects assumed to be flat even though they are not. The consequent deviation from flatness induces nuisance factors that act on the feature representation in a manner for which no general local invariants can be computed, such as in the case ...

We first propose in this paper a new oRGB-SIFT descriptor, and then integrate it with other color SIFT features to produce the Color SIFT Fusion (CSF) and the Color Grayscale SIFT Fusion (CGSF) methods for image category classification. The effectiveness of our proposed representation and methods are evaluated on three representative, large scale, and grand challenging datasets. The experimenta...

In this paper we exploit edges in images to build features for object category recognition. We build a line based image approximation to identify the dominant edge structures and use SIFT descriptors to capture the object shape. Combinations of co-occurring features improve the recognition performance but suffer from complexity due to combinatorial problems. To represent more complex structures...

It is very hard for traditional Camshift to survive of drastic interferences and occlusions of similar objects. This paper puts forward an innovative tracking method using Camshift with multi-feature fusion. Firstly, SIFT features and edge features of the Camshift in RGB space are counted to reduce the probability of disruption by occlusion and clutter. Then, the texture features are collected ...

18 This “Perspective” reflects our observations of recent accomplishments made using SIFT19 MS. Only brief descriptions are given of SIFT-MS as an analytical method and of the recent 20 extensions to the underpinning analytical ion chemistry required to realise more robust 21 analyses. The challenge of breath analysis is given special attention because, when achieved, 22 it renders analysis of ...

The hand vein pattern as a biometric trait for identification has attracted increasing interests in recent years thanks to its properties of uniqueness, permanence, non-invasiveness as well as strong immunity against forgery. In this paper, we propose a novel approach for back of the hand vein recognition. It first makes use of Oriented Gradient Maps (OGMs) to represent the Near-Infrared (NIR) ...

The Scale-Invariant Feature Transform (SIFT) algorithm and its many variants have been widely used in Synthetic Aperture Radar (SAR) image registration. The SIFT-like algorithms maintain rotation invariance by assigning a dominant orientation for each keypoint, while the calculation of dominant orientation is not robust due to the effect of speckle noise in SAR imagery. In this paper, we propos...