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Corel image database

Corel image database

Name: Corel image database

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We manually divided 10, images from the Corel Photo Gallery [6] into 80 concept groups, e.g., autumn, aviation, bonsai, castle, cloud, dog, elephant, iceberg. Abstract: This dataset contains image features extracted from a Corel image and Sharad Mehrotra, Efficient Query Refinement in Multimedia Databases, ICDE . Related Links. Download Databases for research comparison: Download 10, test images (low resolution web-crawled misc database used in WBIIS);.

For designing an image retrieval system, selection of a suitable image database is a critical and important step. At the present time, there is not a standard image . Corelk dataset contains categories, and there are 10, images from diverse contents such as sunset, beach, flower, building, car, horses, mountains, . 7 Mar CorelDraw Image Database At the first stage of our Steganalysis investigation, we have tested our proposed steganalysis system extensively.

Abstract— Image retrieval (IR) is an extremely active research area since ages. It is used in variety of applications like art, photojournalism, medical and scientific. The goal of this work is to provide an empirical basis for research on image have collected 12, hand-labeled segmentations of 1, Corel dataset images title = {A Database of Human Segmented Natural Images and its Application to. The evaluation of the used approach is based on the “Corel-1K image database” (Wang image database). The results are reported in terms of “Weighted. Semantic annotation of images is an important research topic on both image understanding and database or web image search. Image annotation is a. This data set contains Corel images. There are words in total in the vocabulary (labels) and each image has keywords. Images are segmented.

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