A survey on optimizing video and audio query retrieval in multimedia databases

With the advanced growth of the Internet, people are expecting systems to support variety of medias. This has therefore leads to new challenges such as the requirements to have new storage, retrieval and presentation of data. In addition, as the sizes continue to grow and the data become more and more complex, it is increasingly crucial and challenging to manage and analyze large amount of multimedia datasets effectively. In this paper, we suggest a query optimization classification scheme and survey the existing optimization techniques in multimedia databases. We also analyze how each approach works, the advantages and disadvantages of each approach focusing especially on video and audio data. The finding will reveal the best technique and serve as the guideline for young researchers.