Titlebook: Computational Intelligence in Multimedia Processing: Recent Advances; Aboul-Ella Hassanien,Ajith Abraham,Janusz Kacprzyk Book 2008 Springe

亞當(dāng)心理陰影

神圣在玷污

Hairy Roots as a Source for Phytoremediationof these data, locating desired instant or interval along the time is indispensable. In addition to domain specific methods like automatic TV program segmentation, there should be a common means to search these data according to the changes along the time flow..In this chapter, .-string and .-regula

允許

似少年

J. Aravind,M. Kamaraj,S. Rajakumargraphics appear in popular media, such as newspapers and magazines, they generally have a message that they are intended to convey. This chapter addresses the problem of understanding such information graphics. The chapter presents a corpus study that shows the importance of taking information graph

absorbed

instill

J. Aravind,M. Kamaraj,S. Karthikeyanspecific tasks can be identified ranging from text detection to text recognition. In this chapter, we deal with the particular problem of text localisation, which aims at determining the exact location where the text is situated inside a document image. The strict connection between text localisatio

類人猿

https://doi.org/10.1007/978-3-030-98241-6consuming task and users are often unwilling to label too many images during the feedback process. This results in the small sample problem where the performance of relevance feedback is constrained by the small number of training samples. In view of this, we propose a soft-labeling technique that i

CLOWN

S. Sri Shalini,K. Palanivelu,A. Ramachandranliterature coined the term “temporal texture” to identify image sequences of such motion patterns that exhibit spatiotemporal regularity. The study of temporal textures dates back to the early nineties. Many researchers in the computer vision community have formulated techniques to analyse temporal

憲法沒(méi)有

https://doi.org/10.1007/978-3-319-89644-1 problem. In this chapter, scheduling algorithms for soft real-time tasks using genetic algorithm (GA) are introduced. GA has been known to offer significant advantages against conventional heuristics by using simultaneously several search principles and heuristics..The objective of this study is to

enfeeble

Udo Nehren,Sabine Schl?ter,Helga Hissaonal intelligence. We review the types of problems and algorithms used, and how computational intelligence paradigms can help to build competitive solutions. computational intelligence is used here from an “engineering” point of view: the designer is provided with tools which can help in designing o