Feature detection method for small targets of complex multimedia images in cloud environment

During feature detection process of small targets of complex multimedia images in cloud environment, traditional analysis tools are unable to demonstrate the details of the multimedia image due to poor time-frequency localization function, a feature detection method for small target of complex multimedia images in cloud environment based on spatial transformation kernel Fisher is proposed, this method analyzes the principle of wavelet transform applied for signal filtering, also, a filtering method applied for the multimedia image containing small targets is introduced for filtering of complex multimedia image. On the basis of Fisher discriminant analysis method, the feature sample data of small targets is projected into the high-dimensional feature space, and the optimal projection vector set is found in feature space to complete the detection of small targets' feature of the multimedia image. Experimental results show that the proposed method has high detection performance.