Classical Persian Music: An Introduction. By Ella Zonis. Cambridge: Harvard University Press, 1973. xv + 233 pp. $16.50
In: Iranian studies, Band 8, Heft 3, S. 183-190
ISSN: 1475-4819
11 Ergebnisse
Sortierung:
In: Iranian studies, Band 8, Heft 3, S. 183-190
ISSN: 1475-4819
In: The annals of the American Academy of Political and Social Science, Band 543 (Janua, S. 130
ISSN: 0002-7162
In: Tiden: magasin, Band 49, Heft 9, S. 534-541
ISSN: 0040-6759
In: Journal of Latin American studies, Band 27, Heft 2, S. 472-472
ISSN: 1469-767X
In: The economic history review, Band 33, Heft 3, S. 442
ISSN: 1468-0289
In: Studies in the History of Christian Traditions 76
In: Studies in the History of Christian Traditions Online
This volume is the fruit of the colloquium "Les Pays-Bas, carrefour de la tolérance aux Temps Modernes" , held in Wassenaar, the Netherlands, in 1994. Toleration in the strict sense of the word was very much against the grain of sixteenth-century European history. This volume charts the emergence and vicissitudes of the concept of tolerance and its practical implications in the Dutch Republic, from the revolt against Spain in the sixteenth century to the early eighteenth century. The various contributions, all by distinguished scholars, address such issues as Erasmus' views on toleration, the relation between tolerance and irenism, and the contemporary intellectual debate about toleration in the Dutch Republic. This important volume will prove indispensable to historians of the Low Countries, students of humanism and all those interested in the intellectual history of the 16th-18th centuries
In: Ecotoxicology and environmental safety: EES ; official journal of the International Society of Ecotoxicology and Environmental safety, Band 154, S. 1-5
ISSN: 1090-2414
In: Environmental science and pollution research: ESPR, Band 25, Heft 31, S. 31718-31726
ISSN: 1614-7499
International audience ; Automated scene understanding or interpretation is a fundamental problem of computer vision. Its goal is to compute a formal description of the content and events that can be observed in images or videos and distribute it to artificial or human agents for further exploitation or storage. Over the last decade, tremendous progress has been made in the design of algorithms able to analyze images taken under standard viewing conditions. Several of them, e.g., face detection, are already used daily on consumer products. In contrast, the aerospace context has been confined to professional or military applications for a long time, due to its strategic stakes and to the high cost of data production. However, images and videos taken from sensors embedded in airborne or spatial platforms are now being made publicly available, thanks to easily deployable UAVs and web based access data repositories. This article examines the state of the art of automated scene interpretation from aerospace sensors. It will examine how the general techniques of object detection and recognition can be applied to this specific context, as well as what their limitations are and what kind of extensions are possible. The interpretation will be focused on the analysis of movable objects such as vehicles, airplanes and persons. Results will be illustrated with past and ongoing projects.
BASE
International audience ; Automated scene understanding or interpretation is a fundamental problem of computer vision. Its goal is to compute a formal description of the content and events that can be observed in images or videos and distribute it to artificial or human agents for further exploitation or storage. Over the last decade, tremendous progress has been made in the design of algorithms able to analyze images taken under standard viewing conditions. Several of them, e.g., face detection, are already used daily on consumer products. In contrast, the aerospace context has been confined to professional or military applications for a long time, due to its strategic stakes and to the high cost of data production. However, images and videos taken from sensors embedded in airborne or spatial platforms are now being made publicly available, thanks to easily deployable UAVs and web based access data repositories. This article examines the state of the art of automated scene interpretation from aerospace sensors. It will examine how the general techniques of object detection and recognition can be applied to this specific context, as well as what their limitations are and what kind of extensions are possible. The interpretation will be focused on the analysis of movable objects such as vehicles, airplanes and persons. Results will be illustrated with past and ongoing projects.
BASE