Project Support

Project Support for : Ph.D/M.E/M.Tech/M.Phil/B.E/B.Tech/MCA/Msc/Diploma

Department : Computer Science/ Information Technology/ Electronics

Star Student Project

It adopted a global indexing Star Student Project scheme to partition the reference image collection into multiple groups, each of which is fully Star Student Project indexed using a randomized vocabulary in each machine. Star Student Project also proposed a distributed image search architecture Star Student Project for camera sensor networks. However, the search scalability of both works Star Student Project is left unexploited in million scale image collections. In addition, both works Star Student Project need to quantize all features in every server, and hence the quantization step cannot be paralleled. Furthermore, the inverted indexing search of Star Student Project is accomplished in a rough manner, where the local ranking is performed over the partial image collection in each server, rather than in the entire dataset. Moreover,the network traffic of Star Student Project is heavy, as a bunch of local features from different machines has to be transmitted to all servers for quantization and ranking.