Techniques for automatic video content derivation

Automatic road crack detection and classification using image processing techniques, machine learning and integrated models in urban areas: A novel image binarization technique

The quality of the road pavement has always been one of the major concerns for governments around the world. Cracks in the asphalt are one of the most common road tensions that generally threaten the safety of roads and highways. In recent years, automated inspection methods such as image and video processing have been considered due to the high cost and error of manual metho...

Automatic Continuity of Higher Derivations on JB*-Algebras

Double Derivations, Higher Double Derivations and Automatic Continuity

Let  be a Banach algebra. Let  be linear mappings on . First we demonstrate a theorem concerning the continuity of double derivations; especially that all of -double derivations are continuous on semi-simple Banach algebras, in certain case. Afterwards we define a new vocabulary called “-higher double derivation” and present a relation between this subject and derivations and finally give some ...

Semi-automatic Video Content Annotation

Video modeling and annotating are indispensable operations necessary for creating and populating a video database. To annotate video data effectively and accurately, a video content description ontology is first proposed in this paper, we then introduce a semi-automatic annotation strategy which utilize various video processing techniques to help the annotator explore video context or scenarios...

Content-based Video Abstraction

This paper addresses automatic scene change detection, key-frame selection, and similarity ranking which constitute the main steps of a content-based video abstraction system. Unlike other methods, the proposed algorithm performs scene change detection and key-frame selection in one step. We treat scene change detection as a two-class classiication problem and employ automatic threshold selecti...