Experiencing Englishness: humour and guided tours
نویسندگان
چکیده
منابع مشابه
Automatically Generating Virtual Guided Tours
After the introduction of VRML, 3D web browsing has become a popular form of networked virtual reality. However, it is still a great challenge for a novice user equipped with a regular desktop PC to navigate in most virtual worlds of moderate complexity. We think the main problem is due to the fact that a user usually uses a 2D mouse to provide low-level navigation control but the display frame...
متن کاملGuided and Interactive Factory Tours for Schools
School education today aims at improving the integration of school and professional life. A popular way to provide first hand experiences to students are guided factory tours. Companies are highly interested in establishing contacts to school classes, but guided tours to factories are subject to constraints on both sides. For schools, they require organizational effort, are not easy to integrat...
متن کاملInteractive Distributed Guided Tours of Historical Sites
In this paper we propose a new metaphor of information retrieving, usable in heritage management and publishing. Based on the net, the user is able to participate in virtual guided tours, sessions of conferences-like. A human expert will be the guide for all the connected users. He will use different media (sound/video) to communicate; the members of the guided group will communicate between th...
متن کاملGenerating Guided Tours over Indexed Information Resources
This article proposes an approach to the generation of guided tours over indexed information resources on user demand. It represents an alternative to more sophisticated hyperdocument generation techniques, in cases where very few is known about resource contents. The information space is modelled as a hypergraph of resource and resource descriptors. A spanning tree of descriptors is extracted ...
متن کاملImage-guided Tours: Fast-approximated Sift with U-surf Features
In this paper, a feature-detecting algorithm to identify paintings from mobile phone camera images is presented. The algorithm is capable of identifying paintings from noisy camera-phone images. Even with typical blurring, rotation, and a small amount of perspective distortion that would occur in a controlled museum setting, by training on a set of standard painting images, the paintings can be...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Tourism Recreation Research
سال: 2016
ISSN: 0250-8281,2320-0308
DOI: 10.1080/02508281.2016.1188486