A novel method for multiple-query image retrieval

Multiple-query image retrieval is usually utilized in order to enhance performance of the image retrieval system with considering single semantic for a query set. So far, multiple-query image retrieval based on different queries has rarely studied. In this work, we intend to address this problem using a binary component vector. This vector indicates distinct components which exist in an image. The binary component vector is also generated utilizing low-level feature extraction techniques. The final image retrieval process is performed based on this vector. The experimental results show a better performance and less computation in contrary to previous proposed methods.