Content-based retrieval from compressed-image databases
نویسنده
چکیده
There is an enormous amount of multi-media data including images, video, speech, audio and text, distributed among the various computer nodes on the Internet. The extent to which a user wiU be able to derive useful information from these data depends largely on the ease with which required data can be retrieved from the databases. The share volume of the data also poses a storage constraint on the databases; hence these data will need to exist in the compressed form on the databases. In this paper we concentrate on image data and propose a new paradigm in which a compressed image database can be searched for its contents.
منابع مشابه
Compresion Effects on Color and Texture Based Multimedia Indexing and Retrieval
This paper presents an evaluation of digital compression effects on content-based multimedia retrieval using color and texture attributes. Subjective evaluation tests that are applied on digital image and video databases using different compression and visual feature extraction techniques have been performed and reported. Simulations show that a satisfactory retrieval performance can be obtaine...
متن کاملCompression effects on color and texture based multimedia indexing and retrieval
This paper presents an evaluation of digital compression effects on content-hosed multimedia retrieval using color and texture attributes. Subjective evaluation tests that are applied on digital image and video datahases using different compression and vi.~ual feature extraction techniques have been performed and reported. Simulations show that a satisfactory retrieval performance can be obtain...
متن کاملContent-based Retrieval of Compressed Images
Content-based image retrieval allows search for pictures in large image databases without keyword or text annotations. Much progress has been made in deriving useful image features with most of these features being extracted from (uncompressed) pixel data. However, the vast majority of images today are stored in compressed form due to limitations in terms of storage and bandwidth resources. In ...
متن کاملDCT-Based Downscaling Effects on Color and Texture-Based Image Retrieval
This paper evaluates the effects of downscaling in compressed domain on content-based image retrieval based on experimental studies. Several experimental databases are generated based on uncompressed ones using JPEG compression and DCT-scaling. Color and texture features are used in the retrieval queries, which constitute the base for the experiments. The query results are graded subjectively, ...
متن کاملImage 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 کامل