The main aim of the Active Learning Methods for Interactive Image Retrieval project is to build a fast and efficient strategy to retrieve the query concept in content-based image retrieval. Human interactive systems have attracted a lot of research interest in recent years, especially for content- based image retrieval systems. Contrary to the early systems, which focused on fully automatic strategies, recent approaches have introduced human-computer interaction.
Why this project – Active Learning Methods for interactive image retrieval?
In this project we focus on the retrieval of concepts within a large image collection. We assume that a user is looking for a set of images, the query concept, within a database. The aim is to build a fast and efficient strategy to retrieve the query concept. In content-based image retrieval (CBIR), the search may be initiated using a query as an example.
The top rank similar images are then presented to the user. Then, the interactive process allows the user to refine his request as much as necessary in a relevance feedback loop. Many kinds of interaction between the user and the system have been proposed, but most of the time, user information consists of binary labels indicating whether or not the image belongs to the desired concept.
Finally, the image will take the relevant image what the user search. One can see that we have selected concepts of different levels of complexities.
It is used to reduce the computational time. At last it will reduce the control-path latency incurred between issuance of a request and arrival of the corresponding grant.
download Project Report of CSE Active Learning Methods for Interactive Image Retrieval project.