Uma Mudenagudi

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We address the problem of super resolved generation of novel views of a 3D scene with the reference images obtained from cameras in general positions; a problem which has not been tackled before in the context of super resolution and is also of importance to the field of image based rendering. We formulate the problem as one of estimation of the color at(More)
We propose a method for estimating depth from images captured with a real aperture camera by fusing defocus and stereo cues. The idea is to use stereo-based constraints in conjunction with defocusing to obtain improved estimates of depth over those of stereo or defocus alone. The depth map as well as the original image of the scene are modeled as Markov(More)
We address the problem of super-resolution-obtaining high-resolution images and videos from multiple low-resolution inputs. The increased resolution can be in spatial or temporal dimensions, or even in both. We present a unified framework which uses a generative model of the imaging process and can address spatial super-resolution, space-time(More)
In this paper we carry out a survey on key frame extraction methods for Video Summary. We also discuss the summary evaluation criteria and compare the approaches based on the method, data set and the results. Video Summary is a process of presenting an abstract of entire video within a short period of time. It aims to provide a compact video representation,(More)
In this paper, we propose a method to browse the activities present in the longer videos for the user defined time. Browsing of activities is important for variety of applications and consumes large amount of viewing time for longer videos. The aim is to generate a summary of the video by retaining salient activities in a given time. We propose a method for(More)
In this paper, we propose a joint problem of routing and interface assignment for Multi-Radio Wireless Mesh Networks (WMNs) to improve the performance of the network. WMNs have recently gained a lot of popularity due to their rapid deployment, low cost, instant communication capabilities and support for many types of application. But, the real-time(More)
As recently seen in Google's Gmail, the messages in inbox are classified into primary, social and promotions, which makes it easy for the users to differentiate the messages which they are looking for from the bulk of messages. Similarly, a users wall in facebook is usually flooded with huge amount of data which makes it annoying for the users to view the(More)
In this paper we solve the problem of image doctoring using bispectral analysis and Expectation-Maximization (EM) algorithms. Doctoring is a process of modifying or changing the content of an image. Now-a-days there is widespread availability of multi-media data in digital form. The technology that could alter the digital data is growing at break-neck(More)