Searching for image information content, its discovery, extraction, and representation
<|reference_start|>Searching for image information content, its discovery, extraction, and representation: Image information content is known to be a complicated and controvercial problem. This paper posits a new image information content definition. Following the theory of Solomonoff-Kolmogorov-Chaitin's complexity, we define image information content as a set of descriptions of imafe data structures. Three levels of such description can be generally distinguished: 1)the global level, where the coarse structure of the entire scene is initially outlined; 2) the intermediate level, where structures of separate, non-overlapping image regions usually associated with individual scene objects are deliniated; and 3) the low-level description, where local image structures observed in a limited and restricted field of view are resolved. A technique for creating such image information content descriptors is developed. Its algorithm is presented and elucidated with some examples, which demonstrate the effectiveness of the proposed approach.<|reference_end|>
@article{diamant2005searching,
    title={Searching for image information content, its discovery, extraction, and
  representation},
    author={Emanuel Diamant},
    journal={Journal of Electronic Imaging, vol. 14, issue 1, article 013016,
  Jan-Mar 2005},
    year={2005},
    doi={10.1117/1.1867476},
    archivePrefix={arXiv},
    eprint={cs/0505006},
    primaryClass={cs.CV}
}