AN APPROACH TO RE-ORDERING THE IMAGES BASED ON VARIOUS DOMAINS

Togiti Priyanka, Thalla Shankar

Abstract


A single destination function is proposed to improve the codebook within a P2P atmosphere, which shows both the convenience information and the synchronization of the workload synchronously. Therefore, we recommend using the code line update method to improve the information exchanged between ID information and related information, as well as balancing the workload between the nodes that manage different coded words. It is proposed that the code update formula be distributed according to the code words, which improves the functionality of the objective at a low update cost. While most of the current methods focus on the indexing of high-dimensional visual characteristics and also on scalability limitations, we recommend in this document scalable ways to retrieve content-based images in point-to-point systems using a word bag. The codebook should be updated as the atmosphere periodically, instead of static storage. In this document, we offer a unique approach to dynamically generate a blade notebook around the world, which shows discrimination and workload balance. In addition, a peer-to-peer network is being developed dynamically, which makes the difficult codebook less efficient for recovery tasks. In order to further improve the recovery performance and reduce the cost of the network, the development of the cataloging of pruning techniques. Unlike central environments, the important challenge would be to have an efficient global codebook, where the images are distributed throughout the peer network.


Keywords


Image Search; Re-Ranking Information Maximization; Bag-Of-Visual-Words (Bovw); Codebook;

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