ACM Computing Surveys (CSUR)
Dimensions: why do we need a new data handling architecture for sensor networks?
ACM SIGCOMM Computer Communication Review
Similarity Search: The Metric Space Approach (Advances in Database Systems)
Similarity Search: The Metric Space Approach (Advances in Database Systems)
From Robots to Animals: Virtual Fences for Controlling Cattle
International Journal of Robotics Research
Transforming Agriculture through Pervasive Wireless Sensor Networks
IEEE Pervasive Computing
Indexing the signature quadratic form distance for efficient content-based multimedia retrieval
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Applying similarity search for the investigation of the fuel injection process
Proceedings of the Fourth International Conference on SImilarity Search and APplications
Processing the signature quadratic form distance on many-core GPU architectures
Proceedings of the 20th ACM international conference on Information and knowledge management
IEEE Communications Magazine
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In this paper, we present the vision of the usage of an object-based video data storage format for similarity search. The efficient (fast) and effective (accurate) search in video streams is an ongoing and still unsolved problem. Using an object-based format of multimedia data, all the information that is needed to answer queries is already available in a machine accessible format. This way, the process of creating (video) descriptors as well as the similarity search becomes easier, because the data is already organized in a manner that allows fast access to specific information. To demonstrate the concept of similarity search process using the object-based 3D video format, we present experiments conducted on generated clouds of points (an abstraction of 3D video data).