semantics

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VDSM provides a light weight technique to bridge the semantic gap.
Irtaza and Jaffar [31] proposed a combination of Genetic Algorithm (GA) and Support Vector Machines (SVM) to reduce the semantic gap.
On the other hand, the use of a flexible language for multimedia search and retrieval based on MPEG Query Format is the key point trying to narrow the semantic gap, as it gives all the required functionalities.
The new layer should also bridge the semantic gap between multimedia postings by handling hidden semantics contained inside.
To bridge the semantic gap, most previous works select semantic video objects [1-3] as the underlying video patterns for video content representation and feature extraction.
The semantic gap deals with the pictorial contents of an image by a set of lingual codes such as ICONCLASS [37].
This mismatch is often referred to as semantic gap.
But bridging the semantic gap between what customers are asking and all the information available from Kaidara Advisor is no mean feat.
This is due to the difficulty that often mentioned as the semantic gap, in capturing concepts mapped into a set of image and low-level features that can be automatically extracted from the raw video data.
Oingo is a developer of meaning-based technology(TM) that provides the information infrastructure that bridges the semantic gap to enable intelligent interaction.
Our work focuses non-specialized, web based image retrieval, with extra emphasis on bridging the semantic gap issues.

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