Media objects for user-centered similarity matching
The increase of digital image and video acquisition devices, combined with the growth of the World Wide Web, requires the definition of user-relevant similarity matching methods providing meaningful access to documents searched by users among large amounts of data. The aim of our work is to define media objects for document description suited to images and videos, integrating a user-centered definition of importance for similarity matching. The importance is defined according to criteria and hypotheses, which have been experimentally validated. This leads to a definition of a weighting scheme for media objects (based on objects size, position, and scene homogeneity), which has also been validated with users in a second experiment. This model allows for meaningful similarity matching between document pairs and between users queries and documents.
similarity matching weighting scheme image and video indexing human perception evaluation