In this paper, we propose a novel method for selecting personal favorite scenes using hierarchical eigenspace method based approach from broadcast soccer videos. In our method, we use physical parameters extracted from videos, such as image space frequency and time space frequency. We use these physical parameters as feature vectors, make an eigenspace of these vectors extracted from image slic...

This open access book presents novel theoretical, empirical and experimental work exploring the nature of mental representations that support natural language production understanding, other manifestations cognition. One fundamental question raised in text is whether requisite knowledge structures can be adequately modeled by means a uniform representational format, if so, what exactly its natu...

This linguistically motivated work addresses issues in reasoning intelligently over spatial descriptions of simple, static scenes to produce plausible graphical interpretations. It uses a combined representation that couples a semantic network for explicit knowledge with a knowledge base of frames for implicit knowledge. The knowledge base contains generalized rules for interpreting what object...

In his classic paper on frame semantics, Charles Fillmore says that it comes from traditions of empirical semantics rather than formal semantics. In this paper we will try to draw a closer connection between empirical and formal semantics and suggest that a notion of frame closely related to that found in FrameNet can be usefully exploited in formal semantics based on a particular type theory w...