7. A method for generating concept structures from signature reduced clusters (SRCs), comprising: retrieving at least one current SRC comprising a cluster of signatures respective of a plurality of multimedia data elements (MMDEs); generating a plurality of metadata for each signature of the cluster of signatures; identifying a number of repetitions of each metadata, within the at least one current retrieved SRC, of the plurality of metadata; determining whether the number of repetitions of each metadata of the plurality of metadata exceeds a predefined repetition threshold; upon determining that the number of repetitions of a metadata of the plurality of metadata exceeds the predefined repetition threshold, identifying the metadata as representative of the SRC; determining an overlap level between all identified representative metadata of the current retrieved SRC and all metadata that is representative of at least one previously generated SRC; determining whether the overlap level exceeds a predetermined overlap threshold; and upon determining that the overlap level exceeds a predetermined overlap threshold, identifying the retrieved SRC and the previously generated SRC as a concept structure, wherein the concept structure is represented by the representative matching metadata from both the current retrieved SRC and the at least one previously generated SRC.
7. A method for generating concept structures from signature reduced clusters (SRCs), comprising: retrieving at least one current SRC comprising a cluster of signatures respective of a plurality of multimedia data elements (MMDEs); generating a plurality of metadata for each signature of the cluster of signatures; identifying a number of repetitions of each metadata, within the at least one current retrieved SRC, of the plurality of metadata; determining whether the number of repetitions of each metadata of the plurality of metadata exceeds a predefined repetition threshold; upon determining that the number of repetitions of a metadata of the plurality of metadata exceeds the predefined repetition threshold, identifying the metadata as representative of the SRC; determining an overlap level between all identified representative metadata of the current retrieved SRC and all metadata that is representative of at least one previously generated SRC; determining whether the overlap level exceeds a predetermined overlap threshold; and upon determining that the overlap level exceeds a predetermined overlap threshold, identifying the retrieved SRC and the previously generated SRC as a concept structure, wherein the concept structure is represented by the representative matching metadata from both the current retrieved SRC and the at least one previously generated SRC. 9. The method of claim 7 , further comprising: upon determining that the number of repetitions of the metadata does not exceed the predefined repetition threshold, removing the metadata from the plurality of metadata.