A fast MPEG-7 dominant color extraction with new similarity measure for image retrieval

Compact Signature-Based Compressed Video Matching Using Dominant Color Profiles (DCP)

“…Regards clustering the general idea is to group similar pixel colors into set of clusters, where each cluster is represented by its centroid [40], which acts as the dominant color. However, there are some problems associated with clustering algorithms in general; regarding the excessive computational time to find clusters [41] and the manual initialization of initial cluster seeds [38]. Also, in some cases the final set of selected dominant colors may be far away from those identified by human as dominant colors [29].…”

“…Most of the work on dominant colors either uses RGB [41] or HSV [39]. Furthermore others claimed that even a specific color space is not an important factor in dominant color extraction [41].…”

“…Furthermore others claimed that even a specific color space is not an important factor in dominant color extraction [41]. In our case we are using the grayscale MPEG Y-channel for several reasons:…”

CTDCIRS: Content based Image Retrieval System based on Dominant Color and Texture Features

“…Moreover, DCD similarity matching does not fit human perception very well, and it will cause incorrect ranks for images with similar color distribution. We will adopt a new and efficient dominant color extraction scheme to address the above problems [7].…”

“…However, DCD similarity matching does not fit human perception very well, and it will cause incorrect ranks for images with similar color distribution [5,6]. In [7], Yang et al presented a color quantization method for dominant color extraction, called the linear block algorithm (LBA), and it has been shown that LBA is efficient in color quantization and computation. For the purpose of effectively retrieving more similar images from the digital image databases (DBs), Lu et al [8] uses the mean value, the color distributions and the standard deviation, to represent the global characteristics of the image, and the image bitmap is used to represent the local characteristics of the image for increasing the accuracy of the retrieval system.…”