Review on Different Image Retrieval Techniques

with the explosive growth of the transmission knowledge on the Web, content-based image search has attracted considerable attentions within the transmission and computer vision community. The most common approach is predicated on the bag-of-visual-words model with invariant native options. Since the special context information among native options is important for visual content identification, several ways exploit the geometric clues of native features, together with the situation, the scale, and orientation, for explicitly post-geometric verification. The rise of digital images creates problems for managing large image databases, indexing individual images, and protecting intellectual property. There is a huge amount of research work focusing on the searching, retrieval and re-ranking of images in the image database. The diverse and scattered work in this domain needs to be collected and organized for easy and quick reference. This paper gives a brief overview of various image retrieval techniques. Keywords— Image Retrieval, content-based image retrieval, Re-ranking, hashing.