@article {2548,
	title = {Full interpretation of minimal images.},
	journal = {Cognition},
	volume = {171},
	year = {2018},
	month = {02/2018},
	pages = {65-84},
	chapter = {65},
	abstract = {<p>The goal in this work is to model the process of\&nbsp; {\textquoteleft}full interpretation{\textquoteright}\&nbsp; of\&nbsp; object images,\&nbsp; which is the ability to identify and localize all semantic features and parts that are recognized by human observers.\&nbsp; The task is approached\&nbsp; by dividing the interpretation of\&nbsp; the complete object to the interpretation of multiple reduced but interpretable local\&nbsp; regions. In such reduced regions, interpretation is\&nbsp; simpler,\&nbsp; since the number of\&nbsp; se mantic\&nbsp; components is small, and the variability of possible configurations is low.\&nbsp;</p>

<p>We model the interpretation process by identifying primitive components and\&nbsp; relations that play a useful role in\&nbsp; local\&nbsp; interpretation by humans. To identify useful\&nbsp; compo nents and relations used in the interpretation process, we consider the\&nbsp; interpretation of\&nbsp; {\textquoteleft} minimal configurations{\textquoteright} :\&nbsp; these\&nbsp; are\&nbsp; reduced\&nbsp; local regions , whic h are\&nbsp; minimal in the sense that further reduction\&nbsp; renders them unrecognizable and\&nbsp; uninterpretable.\&nbsp; We show that\&nbsp; such\&nbsp; minimal\&nbsp; interpretable image s have useful properties,\&nbsp; which\&nbsp; we use to identify\&nbsp; informative\&nbsp; features and relations used for full interpretation.\&nbsp; We describe our interpretation model, and show results of\&nbsp; detailed\&nbsp; interpretations\&nbsp; of\&nbsp; minimal c onfigurations, produced automatically by the model. Finally, we\&nbsp; discuss\&nbsp; implications of\&nbsp; full\&nbsp; interpretation\&nbsp; to\&nbsp; difficult visual tasks, such as recognizing human\&nbsp; activities or interactions , which are beyond the scope of current models of visual\&nbsp; recognition .</p>
},
	keywords = {Image interpretation, M inimal images, Parts and relations, Top-down processing},
	doi = {https://doi.org/10.1016/j.cognition.2017.10.006},
	author = {Guy Ben-Yosef and Liav Assif and Shimon Ullman}
}
