5,307 research outputs found
A scalable Peer-to-Peer System for Music Content and Information Retrieval
Currently a large percentage of internet traffice consists of music files, typically stored in MP3 compressed audio format, shared and exchanged over Peer-to-Peer (P2P) networks. Searching for music is performed by specifying keywords and naive string matching techniques. In the past years the emerging research area of Music Information Retrieval (MIR) has produced a variety of new ways of looking at the problem of music search. Such MIR techniques can significantly enhance the ways users search for music over P2P networks. In order for that to happen there are two main challenges that need to be addressed: 1) scalability to large collections and number of peers 2) richer set of search semantics that can support MIR especially when retrieval is content-based. In this paper, we describe a scalable P2P system that uses Rendezvouz Points (RPs) for music metadata registration and query resolution, that supports atribute-value search semantics as well as content-based retrieval. The performance of the system has been evaluated in large scale usage scenarios using "real" automatically calculated musical content descriptors
CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines
Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective.
The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines.
From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research
Comparison Of Modified Dual Ternary Indexing And Multi-Key Hashing Algorithms For Music Information Retrieval
In this work we have compared two indexing algorithms that have been used to
index and retrieve Carnatic music songs. We have compared a modified algorithm
of the Dual ternary indexing algorithm for music indexing and retrieval with
the multi-key hashing indexing algorithm proposed by us. The modification in
the dual ternary algorithm was essential to handle variable length query phrase
and to accommodate features specific to Carnatic music. The dual ternary
indexing algorithm is adapted for Carnatic music by segmenting using the
segmentation technique for Carnatic music. The dual ternary algorithm is
compared with the multi-key hashing algorithm designed by us for indexing and
retrieval in which features like MFCC, spectral flux, melody string and
spectral centroid are used as features for indexing data into a hash table. The
way in which collision resolution was handled by this hash table is different
than the normal hash table approaches. It was observed that multi-key hashing
based retrieval had a lesser time complexity than dual-ternary based indexing
The algorithms were also compared for their precision and recall in which
multi-key hashing had a better recall than modified dual ternary indexing for
the sample data considered.Comment: 11 pages, 5 figure
Multimedia Markup Tools for OpenKnowledge
OpenKnowledge is a peer-to-peer system for sharing knowledge and is driven by interaction models that give the necessary context for mapping of ontological knowledge fragments necessary for the interaction to take place. The OpenKnowledge system is agnostic to any specific data formats that are used in the interactions, relying on ontology mapping techniques for shimming the messages. The potentially large search space for matching ontologies is reduced by the shared context of the interaction. In this paper we investigate what this means for multimedia data on the OpenKnowledge network by discussing how an existing application that provides multimedia annotation (the Semantic Logger) can be migrated into the OpenKnowledge domain
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