It has been argued that future image coding techniques should allow for "midstream access", i.e. allow image query, retrieval, and modification to proceed on the compressed representation [18]. In a recent work [1], we introduced the colour visual pattern image coding (CVPIC) technique for colour image compression. An image is divided into blocks and each block coded locally by mapping it to on...

Many multimedia presentation applications involve retrieval of objects from more than one collaborating server. Presentations of objects from diierent collaborating servers might be interdependent. For instance, we can consider distributed video servers where blocks of movies are distributed over a set of servers. Here, blocks of a movie from diierent video servers have to be retrieved and pres...

Dis) similarity measure is a significant component of vector model. In content based image retrieval the compatibility of (dis)similarity measure and representation technique is very important for effective and efficient image retrieval. In order to find a suitable dis-similarity measure for a particular representation technique experimental comparison is needed. This paper highlights some of t...

Fractal Image Compression (FIC) is a state of the art technique used for high compression ratio. But it lacks behind in its encoding time requirements. In this method an image is divided into non-overlapping range blocks and overlapping domain blocks. The total number of domain blocks is larger than the range blocks. Similarly the sizes of the domain blocks are twice larger than the range block...

Nowadays, data partition plays an important role in eliminating duplicate data in green storage and cloud storage system. Fixed-sized chunking and content based chunking are two kinds of commonly used partition methods to break a file into a sequence of blocks. Meanwhile, inverted index has become the standard indexing method in modern information retrieval field. For conveniently analyzing, th...

Content retrieval of scanned line drawing images is a difficult problem, especially from real-life large scale databases. Existing algorithms don’t work well due to their low efficiency by first recognizing various types of graphical primitives and then content-oriented texts. A new method for directly detecting texts from line drawing images is proposed in this paper. We first decompose a draw...

Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...