In this paper we show this phenomenon using the TREC Video 2002 Corpus as a test bed. Using a basic set of 12 semantic concepts modeled with support vector ...

Exploring semantic dependencies for scalable concept detection. Milind R. Naphade. Apostol Natsev. John R. Smith. ICIP (3) (2003), pp. 625-628.

ABSTRACT. Semantic Concept Detection from multimedia features en- ables high-level access to multimedia content. While con- structing robust detectors is ...

Detection of meaningful events in videos based on a supervised classification approach. Exploring semantic dependencies for scalable concept detection. On ...

Exploring semantic dependencies for scalable concept detection. Apostol Natsev; Milind R. Naphade; et al. 2003; ICIP 2003. VideoAL: A Novel End-to-End MPEG-7 ...

This article describes a method for managing the semantic consistency of an ontology of brain–cortex anatomy. Method. The methodology relies on the explicit ...

This article proposes a semantic dependency capture method for source code vulnerability detection of an open source framework based on a hierarchical embedded ...

This paper offers a graph-based pivotal semantic mining framework. Specifically, we model the content information as a graph structure, learn the semantic ...

Dec 9, 2024 · This paper details the development of a novel semantic search algorithm utilizing Word2Vec and Annoy Index to efficiently process and retrieve ...

SIFT first uses an external parser to get the semantic analysis for the input sentence. Then it contextualizes the input with a pretrained. RoBERTa model, the ...