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|Title:||Video representation and retrieval using spatio-temporal descriptors and region relations||Authors:||Doulamis, Anastasios D.
Chatzis, Sotirios P.
|Keywords:||Computer science;Neural networks;Algorithms;Graph theory;Problem solving;Machine learning||Category:||Electrical Engineering - Electronic Engineering - Information Engineering||Field:||Engineering and Technology||Issue Date:||Sep-2006||Publisher:||Springer||Source:||ICANN 2006: 16th International Conference on Artificial Neural Networks, Athens, Greece, September 10-14, 2006. Proceedings, Part II, pp. 94-103||Conference:||International Conference on Artificial Neural Networks||Abstract:||This paper describes a novel methodology for video summarization and representation. The video shots are processed in space-time as 3D volumes of pixels. Pixel regions with consistent color and motion properties are extracted from these 3D volumes by a space-time segmentation technique based on a novel machine learning algorithm. Each region is then described by a high-dimensional point whose components represent the average position, motion velocity and color of the region. Subsequently, the spatio-temporal relations of the regions are deduced and a concise, graph-based description of them is generated. This graph-based description of the video shot's content, along with the region centroids, comprises a concise yet powerful description of the video-shot and is used for retrieval applications. The retrieval problem is formulated as an inexact graph matching problem between the data video shots and the query input which is also a video segment. Experimental results on action recognition and video retrieval are illustrated and discussed||URI:||http://ktisis.cut.ac.cy/handle/10488/7295||ISBN:||978-3-540-38871-5 (print)
|DOI:||10.1007/11840930_10||Rights:||© Springer 2006||Type:||Book Chapter|
|Appears in Collections:||Κεφάλαια βιβλίων/Book chapters|
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