基于内容检索中算法的层次化体系组织

基于内容的检索中,检索算法的常规实现是面向单个特征完成特征提取和相似性匹配,再对单特征检索结果加权完成多特征检索,这种方法计算量大,缺乏灵活性。针对于此,提出了一种检索算法的层次化组织体系,能够灵活组织面向不同特征的检索算法,通过传输因子、优先级因子和复杂度因子的赋值,获得逐步精确的检索结果。实验证明,在查全率和查准率基本一致的前提下,与常规检索体系相比,新检索体系能够减少近40%的检索时间。

Hierarchical Architecture of Algorithms in Content-based Retrieval

In the content-based retrieval,the conventional approach to the retrieval algorithms is to conduct the feature extraction and similarity match on the basis of single feature and then to conduct multi-feature extraction under the condition of weighting the result of single feature extraction.Such an approach incurs large amount of calculation and lacks flexibility.Therefore,a new architecture to organize different retrieval algorithms in content-based retrieval is proposed.It appears as a hierarchical architecture,which is able to acquire a gradually accurate result.The transfer factor,priority factor and complexity factor are defined in this architecture,which can help to combine different feature-oriented retrieval algorithms flexibly.Experiment shows that this architecture improves the retrieval efficiency,resulting in a reduction of 40% of the retrieval time.