A dataflow pattern catalog for sound and music computing

Arumí, Pau; García, David; Amatriain, Xavier

doi:10.1145/1415472.1415503

Cited by 3 publications

(3 citation statements)

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“…In the following, we offer a brief summary of a complete pattern language for dataflow architecture in the multimedia domain presented in [10]. As an example we also include the more detailed description of two of the most important patterns in the catalog.…”

Section: Towards a Pattern Language For Dataflow Architecturesmentioning

confidence: 99%

A framework for efficient and rapid development of cross-platform audio applications

2007

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In this article, we present CLAM, a C++ software framework, that offers a complete development and research platform for the audio and music domain. It offers an abstract model for audio systems and includes a repository of processing algorithms and data types as well as all the necessary tools for audio and control input/output. The framework offers tools that enable the exploitation of all these features to easily build cross-platform applications or rapid prototypes for media processing algorithms and systems. Furthermore, included ready-to-use applications can be used for tasks such as audio analysis/synthesis, plug-in development, feature extraction or metadata annotation. CLAM represents a step forward over other similar existing environments in the multimedia domain. Nevertheless, it also shares models and constructs with many of those. These commonalities are expressed in the form of a metamodel for multimedia processing systems and a design pattern language.

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Section: Towards a Pattern Language For Dataflow Architecturesmentioning

confidence: 99%

A framework for efficient and rapid development of cross-platform audio applications

2007

Self Cite

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“…For that reason, 4MPS classifies objects into two main categories: objects that perform processing (Processing Objects), and objects that hold data used by the process (Data Objects). 6 Each of these categories forms a metaclass of the 4MPS Metamodel.…”

Section: Mps Metamodel For Multimedia Processing Systemsmentioning

confidence: 99%

“…Therefore, the metamodel is on one hand related to pattern languages such as the one presented by Manolescu [5] or Arumi [6], but it adds modeling structure and architecture as well as formal background. On the other hand, it is related to systemlevel design models such as the one offered by the Ptolemy 1 A study of comprehensive references (such as [1]- [4]) reveals the fact that none of them mention object-orientation or its benefits and there is only a single mention to Petri Nets but not to any other graphical MoC.…”

Section: Introductionmentioning

confidence: 99%

A Domain-Specific Metamodel for Multimedia Processing Systems

Amatriain

2007

IEEE Trans. Multimedia

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In this paper, we introduce 4MPS, a Metamodel for Multimedia Processing Systems. The goal of 4MPS is to offer a generic system metamodel that can be instantiated to describe any multimedia processing design. The metamodel combines the advantages of the object-oriented paradigm and metamodeling techniques with system engineering principles and graphical models of computation.4MPS is based on the classification of multimedia processing objects into two main categories: Processing objects that operate on data and controls, and Data objects that passively hold media content. Processing objects encapsulate a method or algorithm. They also include support for synchronous data processing and asynchronous event-driven Controls as well as a configuration mechanism and an explicit life cycle state model. Data input to and output from Processing objects is done through Ports. Data objects offer a homogeneous interface to media data, and support for metaobject-like facilities such as reflection and serialization.The metamodel can be expressed in the language of graphical models of computation such as the Dataflow Networks and presents a comprehensive conceptual framework for media signal processing applications. 4MPS has its practical validation in several existing environments, including the author's CLAM framework.

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