Intuitive Redirect: A Smart Application For Intelligent Photo Transfer Under Restricted Bandwidth Conditions

Computer Science Engineering

The issue that is given concentration in this paper is the confined transfer speed requirements amid transmission of many pictures. Initially, a framework that evaluates the quality of photographs based on accessible metadata was created to deal with the above issue. The current framework was, in any case, a non-automated half-duplex association that was used in processing crowd-sourced photographs to provide a more enhanced GUI experience in various applications. The suggested framework aims at solving issues identified with the field of news coverage and the media business by utilizing this procedure, but with included features. The proposed system, along these lines, utilizes an automated Peer-to-Peer association to transfer metadata along with the image ID. The metadata is extracted and processed by implementing algorithms that were proposed after conducting a study on optimization problems like Max-Utility problem, the online Max-Utility problem and the Min-Selection problem. The optimal images are then sent to the server by an automated process that selects the photos at the client's side based on the corresponding image ID and automatically transfers them to the server when bandwidth requirements are met. This intuitive sending operation is facilitated by the Services component provided by Android.

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.