Color-based descriptors for image fingerprinting

Gavrielides, Marios A.; Šikudová, Elena; Pitas, Ioannis

doi:10.1109/tmm.2006.876290

Cited by 26 publications

(18 citation statements)

References 12 publications

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“…Dimensionality reduction is performed by quantizing the color histogram distribution with respect to a specific color palette. The comparative evaluation indicates that the best tradeoff between compaction and information capacity is accomplished when the quantization scheme utilizes the Macbeth color palette for constructing a feature vector containing 24 scalar values [6]. It must be noted that the proposed scheme can be combined with any other feature vector and its use its not limited to the features used in this paper.…”

Section: Feature Extraction Methodsmentioning

confidence: 99%

“…The proposed system is based on work conducted in [6] for image feature extraction. In this work a comparative evaluation of various feature extraction methods has been performed.…”

Section: Feature Extraction Methodsmentioning

confidence: 99%

“…Images are represented by a feature vector comprising of color-based descriptors [6]. Then, we implement a multidimensional indexing structure based on R-Trees.…”

Section: Introductionmentioning

confidence: 99%

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Image Replica Detection using R-Trees and Linear Discriminant Analysis

Nikolopoulos

Zafeiriou

Sidiropoulos

et al. 2006

2006 IEEE International Conference on Multimedia and Expo

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In this paper a novel system for image replica detection is presented. The system uses color-based descriptors in order to extract robust features for image representation. These features are used for indexing the images in a database using an R-Tree. When a query about whether a test image is a replica of an image in the database is submitted, the R-Tree is traversed and a set of candidate images is retrieved. Then, in order to obtain a single result and at the same time reduce the number of decision errors the system is enhanced with Linear Discriminant Analysis (LDA). The conducted experiments show that the proposed approach is very promising.

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Section: Feature Extraction Methodsmentioning

confidence: 99%

“…The proposed system is based on work conducted in [6] for image feature extraction. In this work a comparative evaluation of various feature extraction methods has been performed.…”

Section: Feature Extraction Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Image Replica Detection using R-Trees and Linear Discriminant Analysis

Nikolopoulos

Zafeiriou

Sidiropoulos

et al. 2006

2006 IEEE International Conference on Multimedia and Expo

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show abstract

“…First, color content was transformed from red-green-blue to the HSV (hue-saturation-value) color space to allow for separation between the chromaticity (hue-saturation) and intensity (value) channels. 66 Color representation using the HSV color space has been used successfully in many applications including skin/face-detection tasks, 67,68 image representation and indexing, 69 as well as in IHC image analysis. 51 Fuzzy c-means clustering was then performed in the HSV color space.…”

Section: Color Palette Generationmentioning

confidence: 99%

“…The range of k was justified by literature findings that color content in general image data sets, 69 as well as pathology images, 58 can be described by a reduced number of colors. In the study by Doolittle et al, 58 no statistically significant difference was found in the ability of pathologists to detect differences between image pairs with 16 million versus 256 colors.…”

Section: Color Palette Generationmentioning

confidence: 99%

Quantitative Assessment and Classification of Tissue-Based Biomarker Expression With Color Content Analysis

Keller¹,

Chen²,

Gavrielides³

2012

Archives of Pathology &Amp; Laboratory Medicine

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N Context.-The use of computer aids has been suggested as a way to reduce interobserver variability that is known to exist in the interpretation of immunohistochemical staining in pathology. Such computer aids should be automated in their usage but also they should be trained in an automated and reproducible fashion.Objective.-To present a computer aid for the quantitative analysis of tissue-based biomarkers, based on color content analysis.Design.-The developed system incorporates an automated algorithm to allow retraining based on the color properties of different training sets. The algorithm first generates a color palette containing the colors present in a training subset. Based on the palette, color histograms are derived and are used as feature vectors to a pattern recognition system, which returns an output proportional to biomarker continuous expression or a categorical classification. The method was evaluated on a database of HER2/neu digital breast cancer slides, for which expression scores from a pathologist panel were available. The system was retrained and evaluated on different transformations of the database, including compression, blurring, and changes in illumination, to examine its robustness to different imaging conditions frequently met in digital pathology.Results.-Results showed high agreement between the results of the algorithm and the truth from the pathologist panel as well as robustness to image transformations.Conclusions.-The results of the study are encouraging for the potential of this method as a computer aid to assess biomarker expression in a consistent and reproducible manner.

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Improving Image Processing Performance Using Database User-Defined Functions

Vagac

Melichercik

2015

Artificial Intelligence and Soft Computing

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Abstract. Writing user-defined functions or stored procedures presents common way in application development using a relational database management system. It allows to embed application code inside of RDBMS. In this paper, we examine an effect of embedding selected computer vision algorithms as user-defined functions in a relational database management system. We show that such a combination can in certain scenarios lead to a performance improvement.

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Color-based descriptors for image fingerprinting

Cited by 26 publications

References 12 publications

Image Replica Detection using R-Trees and Linear Discriminant Analysis

Image Replica Detection using R-Trees and Linear Discriminant Analysis

Quantitative Assessment and Classification of Tissue-Based Biomarker Expression With Color Content Analysis

Improving Image Processing Performance Using Database User-Defined Functions

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