Automatic adaptation decision making using an image to video adaptation tool in the MPEG-21 framework

López, Fernando; Martinez, José M.; García, Narciso

doi:10.1109/wiamis.2009.5031473

Cited by 6 publications

(6 citation statements)

References 8 publications

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“…7) to focus on the faces in the photo instead of the whole subjects in the image. This process is further explained in previous work [25].…”

Section: Increase In the Range Of Addressable Problemsmentioning

confidence: 97%

“…In [24] we reported several experiments that make internal decisions in order to select optimal parameters settings that maximize the Quality of Service (AdaptationQoS tools), satisfying the constraints imposed by the terminal (UED tools) and the constraints of the content providers and content consumers (UCD tools). In another publication [25], we evaluated the automatic execution of sequences of conversions in which the Planner first decides on the input image format, the output visual stream format and the output frame size. In a second step, an ImagelVideo CAT uses Regions Of Interest (ROIs) descriptions stored in the Content DI to make additional internal decisions that focus on the adapted scene on the ROIs (e.g.…”

Section: Conversion Modules That Make Decisionsmentioning

confidence: 99%

“…These conversion modules can use dissimilar decision techniques referred to as internal decisions. For instance, the ImagelVideo CAT can make decisions (using the ROIs [25] stored in the Content DI) to show the faces in the image being adapted, instead of the whole subjects in the image. (7) Internal decisions.…”

Section: Comparisonmentioning

confidence: 99%

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Bounded non-deterministic planning for multimedia adaptation

et al. 2010

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This paper proposes a novel combination of artificial intelligence planning and other techniques for improving decision-making in the context of multi-step multimedia content adaptation. In particular, it describes a method that allows decision-making (selecting the adaptation to perform) in situations where third-party pluggable multimedia conversion modules are involved and the multimedia adaptation planner does not know their exact adaptation capabilities. In this approach, the multimedia adaptation planner module is only responsible for a part of the required decisions; the pluggable modules make additional decisions based on different criteria. We demonstrate that partial decision-making is not only attainable, but also introduces advantages with respect to a system in which these conversion modules are not capable of providing additional decisions. This means that transferring decisions from the multi-step multimedia adaptation planner to the pluggable conversion modules increases the flexibility of the adaptation. Moreover, by allowing conversion modules to be only partially described, the range of problems that these modules can address increases, while significantly decreasing both the description length of the adaptation capabilities and the planning decision time. Finally, we specify the conditions under which knowing the partial adaptation capabilities of a set of conversion modules will be enough to compute a proper adaptation plan.

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“…7) to focus on the faces in the photo instead of the whole subjects in the image. This process is further explained in previous work [25].…”

Section: Increase In the Range Of Addressable Problemsmentioning

confidence: 97%

Section: Conversion Modules That Make Decisionsmentioning

confidence: 99%

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Bounded non-deterministic planning for multimedia adaptation

et al. 2010

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“…It allows partially defining the behaviour of the conversions allowing thereby the use of optimisation methods inside component adaptation tools (CATs). CAIN-21 makes use of regions of interest (ROIs) to drive the Image2Video adaptation (Lopez et al, 2009b). CAIN-21 combines the two major decision-making methods and implements a complete algorithm, i.e., an algorithm that identifies all the feasible adaptations that produce content satisfying the usage environment constraints.…”

Section: Comparative Assessment Of Five Multimedia Adaptation Approachesmentioning

confidence: 99%

Intelligent multimedia engines for multimedia content adaptation

Kanellopoulos

2010

IJMIS

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Current end user devices are not able to display all kind of multimedia data. However, this does not conform to the vision of universal multimedia access (UMA). Server side resource adaptation can solve some of the problems caused by heterogeneity because the multimedia resources are transformed sufficiently such that they fit the consumer's preferences and usage environment before they are sent to client. MPEG-21 is the ISO/IEC standard that defines a normative open framework for multimedia delivery and consumption concerning all parties in the delivery and consumption chain. However, the implementation of an intelligent adaptation engine (AE) capable of determining the required transformations is intentionally left to the tool vendors. An AE, based on the MPEG-21 digital item adaptation (DIA) framework, has an adaptation decision-taking engine (ADTE). In this paper, we present research efforts on ADTEs and consider how intelligent ADTEs can be designed and developed.

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“…NinSuna provides semantic adaptation in the Scenes Of Interest (SOIs) selection and in the framerate reduction. CAIN-21 makes use of Regions of Interest (ROIs) to drive the Image2Video adaptation [29].…”

Section: Comparison With Others Multimedia Adaptation Approachesmentioning

confidence: 99%

CAIN-21: An Extensible and Metadata-Driven Multimedia Adaptation Engine in the MPEG-21 Framework

López

Martínez

García

2009

Semantic Multimedia

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Abstract. This paper presents the CAIN-21 multimedia adaptation engine, which facilitates the integration of pluggable multimedia adaptation modules, chooses the chain of adaptations to perform and manages its execution. Evolving from CAIN, CAIN-21 complies better with the MPEG-21 framework. Its new features and improvements are discussed in this paper. In addition, the pros and cons are explained with respect to others multimedia adaptation engines, including early CAIN.

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Automatic adaptation decision making using an image to video adaptation tool in the MPEG-21 framework

Cited by 6 publications

References 8 publications

Bounded non-deterministic planning for multimedia adaptation

Bounded non-deterministic planning for multimedia adaptation

Intelligent multimedia engines for multimedia content adaptation

CAIN-21: An Extensible and Metadata-Driven Multimedia Adaptation Engine in the MPEG-21 Framework

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