Content Based Multimedia Information Retrieval to Support Digital Libraries
Mohammad Nabil Almunawar

TL;DR
This paper reviews existing image and video retrieval techniques and proposes an integrated model that enables uniform retrieval across multimedia objects based on visual features and spatial relationships.
Contribution
It introduces a unified framework for content-based retrieval of images and videos, facilitating consistent retrieval methods across multimedia types.
Findings
Proposes an integrated model for multimedia retrieval
Enables uniform retrieval for images and videos
Facilitates retrieval based on visual features and spatial relationships
Abstract
Content-based multimedia information retrieval is an interesting research area since it allows retrieval based on inherent characteristic of multimedia objects. For example retrieval based on visual characteristics such as colour, shapes or textures of objects in images or retrieval based on spatial relationships among objects in the media (images or video clips). This paper reviews some work done in image and video retrieval and then proposes an integrated model that can handle images and video clips uniformly. Using this model retrieval on images or video clips can be done based on the same framework.
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Taxonomy
TopicsAdvanced Image and Video Retrieval Techniques · Image Retrieval and Classification Techniques · Video Analysis and Summarization
