Deep learning-based information retrieval with normalized dominant feature subset and weighted vector model.

ABSTRACT: Multimedia data, which includes textual information, is employed in a variety of practical computer vision applications. More than a million new records are added to social media and news sites every day, and the text content they contain has gotten increasingly complex. Finding a meaningful text record in an archive might be challenging for computer vision researchers. Most image searches still employ the tried and true language-based techniques of query text and metadata. Substantial work has been done in the past two decades on content-based text retrieval and analysis that still has limitations. The importance of feature extraction in search engines is often overlooked. Web and product search engines, recommendation systems, and question-answering activities frequently leverage these f

SUBMITTER: Eswaraiah P 

PROVIDER: S-EPMC11636692 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature