Event Models for Recognition and Natural Language Description of Events in Real-World Image Sequences
Proceedings of the Eighth International Joint Conference on Artificial Intelligence. Natural Language. Pages 724-725.
Abstract
For an adequate interpretation of image sequences it is not only necessary to recognize objects and object positions but also certain interesting temporal developments of the scene, called events. In this paper we discuss event models for traffic scenes as high-level conceptual structut·es which permit intet·facing to an existing natural language dialogue system. Event models are declarative descriptions of classes of events organized around verbs of locomotion. They involve components which at'e dit·ectly t"elated to the deep case structure of a corresponding natural language desct·iption. Event models may be used for bottom-up scene description as well as top-down question-answering. They may also incot·porate expectations about a scene, thus providing an interface to experience and common sense .
@inproceedings{ijcai1983p176,
title = {Event Models for Recognition and Natural Language Description of Events in Real-World Image Sequences},
author = {Neumann, Bernd and Novak, Hans-Joachim},
booktitle = {Proceedings of the Eighth International Joint Conference on
Artificial Intelligence, {IJCAI-83}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Alan Bundy},
pages = {724--725},
year = {1983},
note = {Natural Language},
url = {https://ijcai.org/proceedings/1983/176},
}
TY - CPAPER TI - Event Models for Recognition and Natural Language Description of Events in Real-World Image Sequences AU - Neumann, Bernd AU - Novak, Hans-Joachim T2 - Proceedings of the Eighth International Joint Conference on Artificial Intelligence, IJCAI-83 PB - International Joint Conferences on Artificial Intelligence PY - 1983 SP - 724 EP - 725 UR - https://ijcai.org/proceedings/1983/176 ER -Copied
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