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Skip to Search Results- 14Nascimento, Mario
- 2Chitkara, Vishal
- 2Coman, Alexandru
- 2Falcao, Alexandre
- 2Malhotra, Baljeet
- 2Nikolaidis, Ioanis
- 5Database Systems
- 2Color histograms
- 2Color-based image retrieval
- 2Communication Networks
- 2Content-based image retrieval
- 2Sensor networks
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A Unified Framework for Searching Multiple Compressed Collections
2001
Nascimento, Mario, Oliveira, Stanley
Technical report TR01-17. In this work, we propose a new framework for searching directly through multiple compressed collections. We combine, in a single framework, four techniques for efficient, low-overhead text retrieval: inverted index compression, block addressing, sequential searching in...
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2009
Malhotra, Baljeet, Nikolaidis, Ioanis, Nascimento, Mario
Technical report TR09-14. We consider the problem of aggregation convergecast scheduling in wireless sensor networks. Aggregation convergecast differs from regular convergecast in that it accommodates transmission dependencies that allow in-network aggregation to be performed. We formulate the...
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An Adaptive and Efficient Clustering-based Approach for Content Based Image Retrieval in Image Databases
An Adaptive and Efficient Clustering-based Approach for Content Based Image Retrieval in Image Databases
Download2001
Stehling, Renato, Falcao, Alexandre, Nascimento, Mario
Technical report TR01-03. In this paper, we present a new Content-Based Image Retrieval (CBIR) approach which is based on cluster analysis. A distinguishing aspect of CBIR is that it relies on a visual content representation (metadata) of the images. In order to produce such metadata, we propose...
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2006
Nascimento, Mario, Coman, Alexandru, Sander, Joerg
Technical report TR06-24. Wireless sensor networks have received much attention recently. Given their autonomy, flexibility and large range of functionality, they can be used as an effective and discrete means for monitoring data in many domains. Typically the network autonomy implies a limited...
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Benchmarking Access Structures for High-Dimensional Multimedia Data
1999
Nascimento, Mario, Colossi, Nathan
Technical report TR99-05. In multimedia databases it is usual to map objects into feature vectors in high-dimensional spaces. In order to speed query processing access structures, or indices, are required. Unfortunately, in the case of similarity queries, which are in fact nearest neighbor ...
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Cell Histograms Versus Color Histograms for Image Representation and Retrieval
2001
Nascimento, Mario, Falcao, Alexandre, Stehling, Renato
Technical report TR01-01. Color is a commonly used feature for realizing content-based image retrieval (CBIR). In this context, this paper presents a new approach for CBIR which is based on well known and widely used color histograms. Previous approaches have used a single global color...
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Color Based Image Retrieval Using Signature Trees
2001
Manolopoulos, Yannis, Chitkara, Vishal, Tousidou, Eleni, Nascimento, Mario
Technical report TR01-02. Significant research has focused on determining efficient methodologies for effective and speedy retrieval in large image databases. Towards that goal, the first contribution of this paper is an image abstraction technique, called VBA, based on signature bit-strings and...
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Content-Based Image Retrieval Using Binary Signatures
2000
Nascimento, Mario, Chitkara, Vishal, Mastaller, Curt
Technical report TR00-18. Significant research has focused on determining efficient methodologies for retrieving images in large image databases. In this paper, we propose two variations of a new image abstraction technique based on signature bit-strings and an appropriate similarity metric. The...
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2002
Zaiane, Osmar, Nascimento, Mario, Oliveira, Stanley
Technical report TR02-01. Research in information hiding has grown explosively. A large number of techniques have been proposed to discourage copyright infringement, tampering and unauthorized distribution of digital media (e.g. video, audio, and images). In this paper, we provide an overview of...
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2008
Nikolaidis, Ioanis, Nascimento, Mario, Malhotra, Baljeet
Technical report TR08-02. We consider the problem of vehicle classification using acoustic signals captured within a sensor network. The sensors perform collaborative decision and/or data fusion in a distributed and energy efficient manner. We present a distributed cluster-based algorithm,...