Was (wer) ist captioned image retrieval - definition

METHOD OF IMAGE RETRIEVAL

CBIR; Content based image retrieval; CBVIR; QBIC; Content Based Image Retrieval System; Similar image search; Query by image content; Content-based visual information retrieval; Applications of content-based image retrieval; Content-based video browsing; Image-based search; Image distance measure; Image similarity

Information retrieval

ACTIVITY OF OBTAINING INFORMATION RESOURCES RELEVANT TO AN INFORMATION NEED FROM A COLLECTION OF INFORMATION RESOURCES

Information Retrieval; Information retreival; Information retrieval applications; IR evaluation; Information storage and retrieval systems; Information Retrieval System; Query (databases); Information retrieval evaluation; Information retrieval system; Query performance prediction; Retrieval of the information; History of information retrieval

Information retrieval (IR) in computing and information science is the process of obtaining information system resources that are relevant to an information need from a collection of those resources. Searches can be based on full-text or other content-based indexing.

https://en.wikipedia.org/wiki/Information_retrieval

information retrieval

ACTIVITY OF OBTAINING INFORMATION RESOURCES RELEVANT TO AN INFORMATION NEED FROM A COLLECTION OF INFORMATION RESOURCES

¦ noun Computing the tracing and recovery of information from stored data.

XML retrieval

XML Retrieval; XML-IR; XML IR; Content-based XML-Retrieval; Content-based XML retrieval; XML-Retrieval

XML retrieval, or XML information retrieval, is the content-based retrieval of documents structured with XML (eXtensible Markup Language). As such it is used for computing relevance of XML documents.

https://en.wikipedia.org/wiki/XML_retrieval

Wikipedia

Content-based image retrieval

Content-based image retrieval, also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey for a scientific overview of the CBIR field). Content-based image retrieval is opposed to traditional concept-based approaches (see Concept-based image indexing).

"Content-based" means that the search analyzes the contents of the image rather than the metadata such as keywords, tags, or descriptions associated with the image. The term "content" in this context might refer to colors, shapes, textures, or any other information that can be derived from the image itself. CBIR is desirable because searches that rely purely on metadata are dependent on annotation quality and completeness.

https://en.wikipedia.org/wiki/Content-based image retrieval