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Nowadays, visual features play a key role, as they can provide a concise representation of visual data that is efficient for multiple tasks, notably content retrieval and object recognition. In parallel, visual sensors have been improving, targeting richer acquisitions of the light in a visual scene. In this context, the so-called light field cameras, which have recently emerged, are able to go beyond...
The representation of data in terms of its statistical properties is valuable in many applications. This work uses statistics obtained from 4D scene geometry to characterize, in terms of redundancy, the content produced by lenslet-based light field cameras and by high-density arrays of cameras for the JPEG Pleno Call for Proposals on Light Field Coding. This paper proposes a novel so-called geometric...
Light field cameras are emerging as powerful devices to capture rich scene representations that provide unique advantages for analysis and representation purposes. Some recent works have shown the power and usefulness of the richer information carried out by light field imaging, notably for face recognition. However, it is still difficult to fully assess how face recognition technology can benefit...
It is well known that the conventional ways to capture the light around us are limited and thus provide a limited user experience, notably in terms of parallax capabilities. As this has been preventing 3D systems to explode in the market, significant advances are emerging in terms of light capturing technologies among which is relevant to highlight the socalled light field cameras which capture a...
The 3D representation of the world visual information has been a challenge for a long time both in the analogue and digital domains. At least in the past decade, 3D stereo-based solutions have become very common. However, several constraints and limitations ended up causing a negative impact on its user popularity and market deployment. Recent developments in terms of acquisition and display devices...
Many current light field cameras are based on a single sensor with an overlaid micro lenses array, making them more susceptible to noise. This paper proposes a novel light field denoising solution to reduce the effect of Gaussian noise as this is the most commonly assumed type of noise at the acquisition process. The proposed solution takes a noisy light field image and converts it to a sequence of...
Recently, the latest advances in compact feature representation and feature learning have provided an efficient framework for several visual analysis tasks, such as object recognition. However, when multiple cameras with overlapping fields-of-view are employed, other visual analysis tasks such as depth estimation can be supported and object recognition accuracy can be improved. In this paper the problem...
In current 3D video coding solutions, such as the 3D-HEVC standard, depth data is instrumental to have a continuum of views synthesized at the decoder based on a limited set of coded views. In order view synthesis may be performed at the decoder, depth data is currently directly acquired or estimated at the encoder based on very few neighboring views and transmitted to the decoder after appropriate...
The side information (SI) quality significantly influences the rate-distortion (RD) performance of both monoview and multiview Wyner–Ziv (WZ) video coding. Efficient multiview WZ video coding schemes typically exploit both temporal and inter-view correlation during the SI creation process targeting to achieve high SI quality and, thus, high RD performance. In this context, the overall SI creation...
Nowadays, visual sensor networks have emerged as an important research area for distributed signal processing, with unique challenges in terms of performance, complexity, and resource allocation. In visual sensor networks, the energy consumption must be kept low to extend the lifetime of each battery-operated camera node. Thus, considering the large amount of data that visual sensors can generate,...
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