Localized information is necessary for scene categorization, including the Natural/Man-made distinction

Localized information is necessary for scene categorization, including the Natural/Man-made distinction.

What information do people use to categorize scenes? Computational scene classification models have proposed that unlocalized amplitude information, the distribution of spatial frequencies and orientations, is useful for categorizing scenes. Previous research has provided conflicting results regarding this claim. Our previous research (Loschky et al., 2007) has shown that randomly localizing am...

The natural/man-made distinction is made before basic-level distinctions in scene gist processing

“Rhetoric Teaching” is necessary for all of the university students?

A simple search for information sources shows that there are many researches and articles in the field of lecture method and comparison with other types of teaching methods. Interestingly enough, if not with certainty in all of these researches, at least in most of them, the result was in favor of non-lecturing. Previously, the authors emphasized the importance of rhetoric in a Persian letter (...

Beyond Gist: Strategic and Incremental Information Accumulation for Scene Categorization

Research on scene categorization generally concentrates on gist processing, particularly the speed and minimal features with which the “story” of a scene can be extracted. However, this focus has led to a paucity of research into how scenes are categorized at specific hierarchical levels (e.g., a scene could be a road or more specifically a highway); consequently, research has disregarded a pot...

Multiresolution codes for scene categorization

The development of fast and reliable image classification algorithms is mandatory for modern image applications involving large databases. Biological systems seem to have the ability to categorize complex scenes in an accurate and very fast way. Our aim is to develop an architecture that leads to similar performances in computer vision. In this work, we present a coding method based on some pri...