Visual information retrieval system via content-based approach

Yoo, Hun Woo; Jang, Dong Sik; Jung, Seh Hwan; Park, Jin Hyung; Song, Kwang Seop

doi:10.1016/s0031-3203(01)00072-3

Cited by 41 publications

(13 citation statements)

References 31 publications

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“…Lin et al [16] proposed a rotation, translation and scale invariant method for shape identification which is also applicable on the objects with modest level of deformation. Yoo et al [17] proposed the concept of histogram of edge directions, called as edge angles to perform shape based retrieval. [18] used the concept of moments for CBIR.…”

Section: Related Workmentioning

confidence: 99%

Content-Based Image Retrieval Using Moments of Local Ternary Pattern

2014

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Due to the availability of large number of digital images, development of an efficient content-based indexing and retrieval method is required. Also, the emergence of smartphones and modern PDAs has further substantiated the need of such systems. This paper proposes a combination of Local Ternary Pattern (LTP) and moments for Content-Based Image Retrieval. Image is divided into blocks of equal size and LTP codes of each block are computed. Geometric moments of LTP codes of each block are computed followed by computation of distance between moments of LTP codes of query and database images. Then, the threshold using distance values is applied to retrieve images similar to the query image. Performance of the proposed method is compared with other state-of-the-art methods on the basis of results obtained on Corel-1,000 database. The comparison shows that the proposed method gives better results in terms of precision and recall as compared to other state-of-the-art image retrieval methods.

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Section: Related Workmentioning

confidence: 99%

Content-Based Image Retrieval Using Moments of Local Ternary Pattern

2014

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“…Histograms have a wide variety of applications in image processing, ranging from image indexing and retrieval (Sridhar et al, 2002;Yoo et al, 2002;Geusebroek, 2006;Smeulders et al, 2000) to object tracking (Comaniciu et al, 2003) to cite a few.…”

Section: D (Like Rgb)mentioning

confidence: 99%

Transform Coding of RGB-Histograms

Lenz

Carmona

2009

Proceedings of the Fourth International Conference on Computer Vision Theory and Applications

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Abstract:In this paper we introduce the representation theory of the symmetric group S (3) as a tool to investigate the structure of the space of RGB-histograms. We show that the theory reveals that typical histogram spaces are highly structured and that these structures originate partly in group theoretically defined symmetries. The algorithms exploit this structure and constructs a PCA like decomposition without the need to construct correlation or covariance matrices and their eigenvectors. We implemented these algorithms and investigate their properties with the help of two real-world databases (one from an image provider and one from a image search engine company) containing over one million images.

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“…The histogram of edge directions (HED), representing image information, is one of the well-known methods in the image retrieval literature [17]- [19]. Abdel-Mottaleb [20] utilizes this method by applying the Canny edge operator [21] to find strong edges in an image and then quantizes them into four directions (horizontal, vertical, and the two diagonals) to build histograms of edge directions for different image regions.…”

Section: Related Workmentioning

confidence: 99%

Sketch-Based Image Matching Using Angular Partitioning

Chalechale

Naghdy

Mertins

2005

IEEE Trans. Syst., Man, Cybern. A

136

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Abstract-This paper presents a novel method for image similarity measure, where a hand-drawn rough black and white sketch is compared with an existing data base of full color images (art works and photographs). The proposed system creates ambient intelligence in terms of the evaluation of nonprecise, easy to input sketched information. The system can then provide the user with options of either retrieving similar images in the database or ranking the quality of the sketch against a given standard, i.e., the original image model. Alternatively, the inherent pattern-matching capability of the system can be utilized to allow detection of distortion in any given real time-image sequences in vision-driven ambient intelligence applications. The proposed method can cope with images containing several complex objects in an inhomogeneous background. Two abstract images are obtained using strong edges of the model image and the morphologically thinned outline of the sketched image. The angular-spatial distribution of pixels in the abstract images is then employed to extract new compact and effective features using the Fourier transform. The extracted features are rotation and scale invariant and robust against translation. Experimental results from seven different approaches confirm the efficacy of the proposed method in both the retrieval performance and the time required for feature extraction and search.

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Visual information retrieval system via content-based approach

Cited by 41 publications

References 31 publications

Content-Based Image Retrieval Using Moments of Local Ternary Pattern

Content-Based Image Retrieval Using Moments of Local Ternary Pattern

Transform Coding of RGB-Histograms

Sketch-Based Image Matching Using Angular Partitioning

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