Retrieval For Color Artistry Concepts

Lay, J.A.; Guan, Ling

doi:10.1109/tip.2003.822971

Cited by 27 publications

(12 citation statements)

References 20 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These were derived by rule-based mechanisms as well as low-level features such as player position, dominant colors, and mass center [316]. In more recent works, Lay et al [314,315] presented elemental concept indexing (ECI) by defining concepts using a compound of annotated words that can be decomposed into more elementary units, and applying grammar rules to support query operations. This section presents the indexing and retrieval methods that derive semantics based on perceptual features and a machine learning based fusion model.…”

Section: Audio-visual Fusionmentioning

confidence: 99%

Multimedia Database Retrieval

Muneesawang¹,

Zhang²,

Guan³

2014

View full text Add to dashboard Cite

Section: Audio-visual Fusionmentioning

confidence: 99%

Multimedia Database Retrieval

Muneesawang¹,

Zhang²,

Guan³

2014

View full text Add to dashboard Cite

“…Some examples of harmony-based images can be found in Jose and Guan. 9 . In PICASSO, the search on the images could be done on whole images as well as some inter-region colour relationships.…”

Section: Related Workmentioning

confidence: 99%

<title>Colour appearance descriptors for image browsing and retrieval</title>

Othman

Martinez

2008

SPIE Proceedings

View full text Add to dashboard Cite

In this paper, we focus on the development of whole-scene colour appearance descriptors for classification to be used in browsing applications. The descriptors can classify a whole-scene image into various categories of semantically-based colour appearance. Colour appearance is an important feature and has been extensively used in image-analysis, retrieval and classification. By using pre-existing global CIELAB colour histograms, firstly, we try to develop metrics for wholescene colour appearance: "colour strength", "high/low lightness" and "multicoloured". Secondly we propose methods using these metrics either alone or combined to classify whole-scene images into five categories of appearance: strong, pastel, dark, pale and multicoloured. Experiments show positive results and that the global colour histogram is actually useful and can be used for whole-scene colour appearance classification. We have also conducted a small-scale human evaluation test on whole-scene colour appearance. The results show, with suitable threshold settings, the proposed methods can describe the whole-scene colour appearance of images close to human classification. The descriptors were tested on thousands of images from various scenes: paintings, natural scenes, objects, photographs and documents. The colour appearance classifications are being integrated into an image browsing system which allows them to also be used to refine browsing.

show abstract

“…Itten is renowned for his designation of the seven color contrast: hue, light-dark, cold-warm, complementary, simultaneous, saturation, and extension [6]. There are three species of contrast relationship referenced in the calculation of the HSV based color contrast gradient and described briefly as follow.…”

Section: B Concept Of Color Contrastmentioning

confidence: 99%

Perceptual Color Contrast based Watershed for Color Image Segmentation

Chi

Tai

2006

2006 IEEE International Conference on Systems, Man and Cybernetics

View full text Add to dashboard Cite

The goal of image segmentation is to partition the image into several homogenous regions or particular objects with similar properties, such like color and texture. It is essential for object recognition and image retrieval, and it also could enhance the performance of certain compression algorithms. In this paper, a perceptual color contrast based watershed algorithm for color images segmentation is presented. The conventional watershed segmentation algorithm is not suitable for color image directly, since it is hard to decide a suitable color gradient measurement for color image. The proposed algorithm adopts HSV color space to define the color contrast gradient for the improvement of watershed algorithm. Experimental result shows that the proposed algorithm can avoid the over segmentation problem, and produce segmented result which is close to human perception.

show abstract

Retrieval For Color Artistry Concepts

Cited by 27 publications

References 20 publications

Multimedia Database Retrieval

Multimedia Database Retrieval

<title>Colour appearance descriptors for image browsing and retrieval</title>

Perceptual Color Contrast based Watershed for Color Image Segmentation

Contact Info

Product

Resources

About