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In this paper we propose the use of enhanced mid-level information, such as information obtained from the application of supervised or unsupervised learning ...
A model vector that contains the distances from each mid-level element is formed and a neural network-based detector is trained for each semantic concept.
In this paper we propose the use of enhanced mid-level information, such as information obtained from the appli- cation of supervised or unsupervised ...
To bridge the semantic gap, we propose to promote the low-level visual feature to the middle-level representation, expecting that the underlying semantic ...
High-level concept detection based on mid-level semantic information and contextual adaptation. Mylonas, P; Spyrou, E; Avrithis, Y.
High-level concept detection is the process within which the high-level concepts or objects which are presented in a multimedia document are determined.
In this paper we investigate detection of high-level concepts in multimedia content through an integrated approach of visual thesaurus analysis and visual ...
Synonyms: High-Level Concept Detection; Semantic Concept Detection; Image Classification;. Object Recognition. Definition: High-level concept detection is ...
Higher Semantic Level refers to the interpretation of human behaviors from smartphone usage data at a more abstract and meaningful level, ...
Missing: Adaptation. | Show results with:Adaptation.
High-Level Concept Detection Based on Mid-Level Semantic Information and Contextual Adaptation. Published by Institute of Electrical and Electronics ...