Zenilton Kleber Gonçalves do Patrocínio

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— Traffic Grooming Problem (TGP) deals with efficiently combining low-speed traffic streams into high-capacity wavelength channels in order to improve bandwidth utilization and minimize network cost. In this paper, we investigate TGP in WDM optical networks regardless of underlying physical topology. The problem is formulated as an integer linear program(More)
Video clip localization consists in identifying real positions of a specific video clip in a video stream. To cope with this problem, we propose a new approach considering the maximum cardinality matching of a bipartite graph to measure video clip similarity with a target video stream which has not been preprocessed. We show that our approach locates edited(More)
This paper addresses transition detection which consists in identifying the boundary between consecutive shots. In this work, we propose an approach to cope with transition detection in which we define and use a new dissimilarity measure based on the size of the maximum cardinality matching calculated using a bipartite graph with respect to a sliding(More)
Efficient and effective handling of video documents depends on the availability of indexes. Manual indexing is unfeasible for large video collections. Video combines different types of data from different modalities. Using information from multiple modalities may result in a more robust and accurate video retrieval. Therefore, effective indexing for video(More)