Content selection based on compositional image quality

Pere Obrador

doi:10.1117/12.705394

29 January 2007 Content selection based on compositional image quality

Pere Obrador

Proceedings Volume 6500, Document Recognition and Retrieval XIV; 65000K (2007) https://doi.org/10.1117/12.705394
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States

Abstract

Digital publishing workflows usually have the need for composition and balance within the document, where certain photographs will have to be chosen according to the overall layout of the document it is going to be placed in. i.e., the composition within the photograph will have a relationship/balance with the rest of the document layout. This paper presents a novel image retrieval method, in which the document where the image is to be inserted is used as query. The algorithm calculates a balance measure between the document and each of the images in the collection, retrieving the ones that have a higher balance score. The image visual weight map, used in the balance calculation, has been successfully approximated by a new image quality map that takes into consideration sharpness, contrast and chroma.

Citation Download Citation

Pere Obrador "Content selection based on compositional image quality", Proc. SPIE 6500, Document Recognition and Retrieval XIV, 65000K (29 January 2007); https://doi.org/10.1117/12.705394

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