Semantic Retrieval of Multimedia
暂无分享,去创建一个
the underlying content. For example, it would prove quite attractive to consumers if they could retrieve all the pictures that contain the Eiffel Tower from their large personal image database or if they could record a soccer game and automatically play back only the highlights. Further applications could automatically sort their digital audio collection into different genres or play back only the action scenes of a DVD movie. In other words, there exists more appeal and versatility in being able to retrieve multimedia data based on semantic meaning: high-level concepts that relate to language and logic. The ubiquitous nature of multimedia data, the push for manufacturers to create new products and applications, and the improvement in accessibility and speed of computing devices has caused an increase in research and development in the area of semantic retrieval of multimedia.
[1] Yingzi Du,et al. Biometric signal processing laboratory , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.
[2] R. Felder. Reaching the Second Tier--Learning and Teaching Styles in College Science Education. , 1993 .
[3] Andrea Gregg,et al. Learning From Doing: Lessons Learned From Designing and Developing an Educational Software Within a Heterogeneous Group , 2021, Int. J. Web Based Learn. Teach. Technol..