Crowdsourcing-based heterogeneous media semantic meaning fusion method

The invention discloses a crowdsourcing-based heterogeneous media semantic meaning fusion method. The method mainly comprises three parts: semantic meaning extraction, multimode semantic meaning fusion and semantic meaning storage and distribution. By adoption of the heterogeneous media semantic meaning fusion method under crowdsourcing environment, task topics and history hot topics of users can be correctly obtained; and physical feature extraction is completely put aside and only a retrieval program on the basis of the field of semantic meanings is executed, so that the high precision and a high-precision ratio are ensured. Moreover, the method has an effect of ensuring the increase of the precision and the stability of time cost besides purifying the semantic meanings. 本发明公开了种基于众包的异构媒体语义融合方法，主要包含三个部分：语义抽取、多模态语义融合、语义存储和分布。本发明采用了众包环境下的异构媒体语义融合方法，可以准确地获取任务主题和用户的历史热点主题，并且本发明完全抛开了物理特性提取，执行了仅仅基于语义领域的检索程序，保证了高精确度和高精度比率。另外，本发明在语义提纯之后保证了精确度的增长以及时间代价的稳定。