Ucid: an uncompressed color image database pdf download

 · UCID: an uncompressed color image database UCID: an uncompressed color image database Schaefer, Gerald; Stich, Michal Standardised image databases or rather the lack of them are one of the main weaknesses in the field of content based image retrieval (CBIR). Authors often use their own images or do not specify the source of their bltadwin.ruted Reading Time: 6 mins.  · The UCID dataset currently consists of uncompressed images together with a ground truth of a series of query images with corresponding models that an ideal CBIR algorithm would retrieve. While its initial intention was to provide a dataset for the evaluation of compressed domain algorithms, the UCID database also represents a good Cited by:

grayscale image blocks, extracted from images in CalPhotos [31], and a color image dataset with authentic uncompressed color block images and spliced uncompressed color block images. CASIA's Image Tampering Detection Evaluation Database () [32] focuses on splicing and tampering. CASIA v has The UCID dataset currently consists of uncompressed images together with a ground truth of a series of query images with corresponding models that an ideal CBIR algorithm would retrieve. While its initial intention was to provide a dataset for the evaluation of compressed domain algorithms, the UCID database also represents a good. Download Citation | UCID: An uncompressed color image database | Standardised image databases or rather the lack of them are one of the main weaknesses in the field of content based image.

In this paper we present UCID10K, an image database comprising 10, colour images. Importantly, all images in the dataset are captured and preserved in uncompressed form allowing its use for benchmarking a variety of imaging applications including image compression, colour quantisation, steganography and image forensics. In this paper we introduce a new dataset, UCID (pronounced "use it") - an Uncompressed Colour Image Dataset which tries to bridge this gap. The UCID dataset currently consists of uncompressed images together with a ground truth of a series of query images with corresponding models that an ideal CBIR algorithm would retrieve. Total: Description. The aim of the UCID is to provide a benchmark dataset for image retrieval. The database has over images together with a ground truth (predefined query images with corresponding model images that should be retrieved). It is envisaged that the dataset is used for the evaluation of image retrieval techniques.