Semantic Organization of Scenes using Discriminant Structural Templates
نویسندگان
چکیده
In this paper, we present a procedure for organizing real world scenes along semantic axes. The approach is based on the output energies of linear discriminant filters that take into account, or not, spatial information. We introduce three semantic axes along which pictures are ordered. The main semantic axis computes the degree of naturalness of a scene. Then, urban pictures are evaluated according to their degree of verticalness and natural scenes, according to their degree of openness. We observe the emergence of typical scene categories such as beach, mountain, skyscrapers, city center, etc., along the axes.
منابع مشابه
Global Semantic Classi cation of Scenes using Power Spectrum Templates
Scene recognition and content-based procedures are of great interest for image indexing applications processing very large databases. Knowing the category to which a scene belongs, a retrieval system may lter out images belonging to other categories. In this paper, we introduce a computational approach which classi es and organises real-world scenes along broad semantic axes. Fundamental to our...
متن کاملA Structural Organization of Modern English Multiple Complex-Compound
The article focuses on the factors that cause linear and vertical sentence extension of multiple complex-compound sentences used in English fictional literature. Considering the sentence structure as a combination of 2 Units – paratactic and hypotactic the authors define the structural peculiarities of paratactic and hypotactic units including the number of clauses and its bonds. The extension ...
متن کاملرابطه میان سال نشر و قالبهای ادبی در کتابهای اروپایی کودک و نوجوان ترجمهشده به فارسی در دهه اول قرن بیستویکم
Purpose: We have studied in the present research the semantic relationship between publication date and literature templates in European books for children and adolescents translated into Persian in the first decade of 21st century and have identified literature templates in the mentioned books which have been published during 9 years, i.e. from beginning of 2000 to end of 2008. Methodology: C...
متن کاملGlobal semantic classification of scenes using ridgelet transform
In recent years, new harmonic analysis tools providing sparse representation in high dimension space have been proposed. In particular, ridgelets and curvelets bases are similar to the sparse components of naturally occurring image data derived empirically by computational neuroscience researchers. Ridgelets take the form of basis elements which exhibit very high directional sensitivity and are...
متن کاملVision-guided navigation using SHOSLIF
This paper presents an unconventional approach to vision-guided autonomous navigation. The system recalls information about scenes and navigational experience using content-based retrieval from a visual database. To achieve a high applicability to various road types, we do not impose a priori scene features, such as road edges, that the system must use, but rather, the system automatically deri...
متن کامل