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Advisor(s)
Abstract(s)
In visual sensor networks, local feature descriptors can be computed at the sensing nodes, which work collaboratively on the data obtained to make an efficient visual analysis. In fact, with a minimal amount of computational effort, the detection and extraction of local features, such as binary descriptors, can provide a reliable and compact image representation. In this paper, it is proposed to extract and code binary descriptors to meet the energy and bandwidth constraints at each sensing node. The major contribution is a binary descriptor coding technique that exploits the correlation using two different coding modes: Intra, which exploits the correlation between the elements that compose a descriptor; and Inter, which exploits the correlation between descriptors of the same image. The experimental results show bitrate savings up to 35% without any impact in the performance efficiency of the image retrieval task. © 2014 EURASIP.
Description
Keywords
Binary descriptors Feature coding Local features Mode decision Visual sensor networks
Citation
MONTEIRO, Pedro; ASCENSO, João Miguel Duarte - Coding mode decision algorithm for binary descriptor coding. European Signal Processing Conference. (2014) Art. Nr. 6952147, p. 541-545.
Publisher
European Signal Processing Conference, EUSIPCO