2010Unpublished venueRequires access

Semantic Research on Content-Based Image Retrieval

Zhijun Chen

Open publisher page 5 citations

Abstract

The target of content-based image retrieval is to reduce the "semantic gap" between low-level visual features and high-level semantic features of image. The key of the further development of content-based image retrieval is the processing of image semantics. To enhance the capacity of content-based image retrieval systems, the image semantic model, image semantic extraction and image semantic retrieval system are researched in this paper. At last, the problems in image semantics are put forward and the directions of future development are suggested.

About this research paper

What this paper is about

The target of content-based image retrieval is to reduce the "semantic gap" between low-level visual features and high-level semantic features of image. The key of the further development of content-based image retrieval is the processing of image semantics. To enhance the capacity of content-based image retrieval systems, the image semantic model, image semantic extraction and image semantic retrieval system are researched in this paper. At last, the problems in image semantics are put forward and the directions of future development are suggested.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The target of content-based image retrieval is to reduce the "semantic gap" between low-level visual features and high-level semantic features of image. The key of the further development of content-based image retrieval is the processing of image semantics. To enhance the capacity of content-based image retrieval systems, the image semantic model, image semantic extraction and image semantic retrieval system are researched in this paper. At last, the problems in image semantics are put forward and the directions of future development are suggested.

Key concepts: Image retrieval, Computer science, Automatic image annotation, Semantics (computer science), Information retrieval, Visual Word, Content-based image retrieval, Semantic gap

Related papers

Back to paper searchBrowse research topicsOriginal source
Semantic Research on Content-Based Image Retrieval — Research Paper | ScholarLens