@article {2548, title = {Full interpretation of minimal images.}, journal = {Cognition}, volume = {171}, year = {2018}, month = {02/2018}, pages = {65-84}, chapter = {65}, abstract = {

The goal in this work is to model the process of\  {\textquoteleft}full interpretation{\textquoteright}\  of\  object images,\  which is the ability to identify and localize all semantic features and parts that are recognized by human observers.\  The task is approached\  by dividing the interpretation of\  the complete object to the interpretation of multiple reduced but interpretable local\  regions. In such reduced regions, interpretation is\  simpler,\  since the number of\  se mantic\  components is small, and the variability of possible configurations is low.\ 

We model the interpretation process by identifying primitive components and\  relations that play a useful role in\  local\  interpretation by humans. To identify useful\  compo nents and relations used in the interpretation process, we consider the\  interpretation of\  {\textquoteleft} minimal configurations{\textquoteright} :\  these\  are\  reduced\  local regions , whic h are\  minimal in the sense that further reduction\  renders them unrecognizable and\  uninterpretable.\  We show that\  such\  minimal\  interpretable image s have useful properties,\  which\  we use to identify\  informative\  features and relations used for full interpretation.\  We describe our interpretation model, and show results of\  detailed\  interpretations\  of\  minimal c onfigurations, produced automatically by the model. Finally, we\  discuss\  implications of\  full\  interpretation\  to\  difficult visual tasks, such as recognizing human\  activities or interactions , which are beyond the scope of current models of visual\  recognition .

}, 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} } @article {2408, title = {Full interpretation of minimal images}, year = {2017}, month = {02/2017}, abstract = {

The goal in this work is to model the process of {\textquoteleft}full interpretation{\textquoteright} of object images, which is the ability to identify and localize all semantic features and parts that are recognized by human observers. The task is approached by dividing the interpretation of the complete object to the interpretation of multiple reduced but interpretable local regions. In such reduced regions, interpretation is simpler, since the number of semantic components is small, and the variability of possible configurations is low.

We model the interpretation process by identifying primitive components and relations that play a useful role in local interpretation by humans. To identify useful components and relations used in the interpretation process, we consider the interpretation of {\textquoteleft}minimal configurations{\textquoteright}: these are reduced local regions, which are minimal in the sense that further reduction renders them unrecognizable and uninterpretable. We show that such minimal interpretable images have useful properties, which we use to identify informative features and relations used for full interpretation. We describe our interpretation model, and show results of detailed interpretations of minimal configurations, produced automatically by the model. Finally, we discuss implications of full interpretation to difficult visual tasks, such as recognizing human activities or interactions, which are beyond the scope of current models of visual recognition.

This manuscript has beed accepted for publication in Cognition.

}, keywords = {Image interpretation, Parts and relations, Visual object recognition}, author = {Guy Ben-Yosef and Liav Assif and Shimon Ullman} }