Abstract: A method of classification for a content-based digital-image, including: defining a set of low-level features describing the semantic content of the image, the features being quantities obtainable from the image by means of logico-mathematical expressions that are known beforehand, and the choice of said features depending upon the image classes used for the classification; indexing an image to be classified, with the purpose of extracting therefrom a feature vector, the components of which consist of the values assumed, in the image, by said low-level features; splitting the feature space defined by the low-level features into a plurality of classification regions, to each one of the regions there being associated a respective image class, and each classification region being the locus of the points of the feature space defined by a finite set of conditions laid on at least one component of the feature vector; associating the feature vector to the feature space; identifying, among the classification regions,

Abstract: This invention relates to a carrying case used to transport objects or documents, such as posters, drawings, or blueprints for presentation at conventions, exhibitions, meetings or similar functions. The expandable carrying case is made of leather or similarly sturdy, durable synthetic material such as nylon. It has flexible tubes that constitute a protective container for objects or rolled-up documents when deployed, and can be coiled up and stored in the said cylindrical case when not in use. The benefits of the present invention include its versatility in transporting objects or documents of different sizes or lengths. The flexible extensions are interconnected to each other, and to the cover and elongated tubular member through zippers, or similarly durable, sturdy fasteners to form one enclosed, protective carrier. This makes the current invention a uniquely versatile, flexible and reusable (hence “green”) transport/storage device.