Image Database Retrieval Using Wavelet Packets Compressed Data
نویسندگان
چکیده
An efficient method for cross-correlating images, in querying operations over an image database is presented. The method relies on a multiresolution compression method, based on a variant of the wavelet packets best-basis algorithm of Coifman and Wickerhauser. It is shown that a searched image can be correlated with the compressed images of the database in a fraction of the time required by using the traditional cross-correlation function computed on the original bitmap image.
منابع مشابه
Image Retrieval Using Dynamic Weighting of Compressed High Level Features Framework with LER Matrix
In this article, a fabulous method for database retrieval is proposed. The multi-resolution modified wavelet transform for each of image is computed and the standard deviation and average are utilized as the textural features. Then, the proposed modified bit-based color histogram and edge detectors were utilized to define the high level features. A feedback-based dynamic weighting of shap...
متن کاملCompressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models
We describe and compare three probabilistic ways to perform Content Based Image Retrieval (CBIR) in compressed domain using images in JPEG2000 format. Our main focus are arbitrary non-uniformly textured color images, as can be found, e.g., in home user image collections. JPEG2000 offers data that can be easily transferred into features for image retrieval. Thus, when converting images to JPEG20...
متن کاملA successively refinable wavelet-based representation for content-based image retrieval
Content based retrieval of image and video data from databases is a very challenging problem, whose interest is derived from the need of future databases to support eecient access to vast amounts of visual information. Typical queries to be performed in this context check attributes of objects present in image data, such as shape, color, relative locations, etc. Therefore, the way in which imag...
متن کاملSingular Value Decomposition based Steganography Technique for JPEG2000 Compressed Images
In this paper, a steganography technique for JPEG2000 compressed images using singular value decomposition in wavelet transform domain is proposed. In this technique, DWT is applied on the cover image to get wavelet coefficients and SVD is applied on these wavelet coefficients to get the singular values. Then secret data is embedded into these singular values using scaling factor. Different com...
متن کاملRanked Document Retrieval in (Almost) No Space
Ranked document retrieval is a fundamental task in search engines. Such queries are solved with inverted indexes that require additional 45%-80% of the compressed text space, and take tens to hundreds of microseconds per query. In this paper we show how ranked document retrieval queries can be solved within tens of milliseconds using essentially no extra space over an in-memory compressed repre...
متن کامل