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Peer-to-peer networking offers a scalable solution for sharing multimedia data across the network. With a large amount of visual data distributed among different nodes, it is an important but challenging issue to perform content-based retrieval in peer-to-peer networks. While most of the existing methods focus on indexing high dimensional visual features and have limitations of scalability, in this...
With the growing number of smartphone users, peer-to-peer ad hoc data forwarding is expected to occur more often. The forwarding performance improves when knowledge regarding the expected topology and the social context information of the networks. In this paper, we introduce a new metric for data forwarding based on social context information, in which node's social context information is used to...
Known by its exceptional scalability and flexibility, Peer-to-peer (P2P) technique is arguably one of the most important mechanisms for sharing massive data (e.g. media data). It has been challenging to support similarity search in structured P2P networks, though it provides efficient indexing for exact search. In this paper, we present an efficient indexing technique to support complex similarity...
Multimedia data, particularly, video data, has dominated peer-to-peer (P2P) networks. Therefore, it is demanding to provide content based retrieval in P2P networks. Similarity matching is one of the challenging issues. In this paper, we present a novel two-step method to reduce computational complexity of similarity matching in P2P networks. In the first step, an efficient maximum matching (MM) technique...
Supporting complex and efficient lookup queries in peer-to-peer networks is challenging, though simple keyword based lookup queries are well supported by most deployed systems. This paper presents a two-level indexing structure built on distributed hash table (DHT) aiming to support range queries on high-dimensional feature space in peer-to-peer network. Unlike most existing systems, where every node...
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