The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Sirens and alarms play an important role in everyday life since they warn people of hazardous situations, even when these are out of sight. Automatic detection of this class of sounds can help hearing impaired or distracted people, e.g., on the road, and contribute to their independence and safety. In this paper, we present a technique for the detection of alarm sounds in noisy environments. The technique...
A distress situation is reflected in a person's speech e.g., fear, or in the speech of those around him e.g., anger. For many real-life situations, it may be desired to detect distress by remote monitoring. This paper deals with such remote monitoring using a microphone. Namely, we propose a technique for speaker-independent detection of distress in speech. Different temporal and spectral acoustic...
Distance estimation for marine vessels is of vital importance to unmanned ship vehicles (USVs) for navigation and collision prevention. This can be achieved by means such as radar or laser sighting. However, due to constraints of the USV, it may be desired to estimate distance using a monocular camera. In this paper, we propose a method that, given a video of a marine vehicle in a maritime environment...
Reduced-reference image quality measures aim to estimate the visual quality of a distorted image with only partial information about the “perfect quality” reference image. In this paper, we present a reduced-reference image quality assessment (IQA) metric based on DCT Subbands Similarity (RR-DSS). According to the assumption that human visual perception is adapted for extracting structural information,...
The High Efficiency Video Coding (HEVC) standard provides a substantial improvement in coding efficiency over previous video coding standards at the cost of a higher computational complexity. HEVC employs a quadtree based image structure by partitioning the image into coding units (CUs). Finding the optimal CU size in terms of rate-distortion is one of the most computationally challenging parts of...
Measuring image quality becomes increasingly important due to the many applications involving digital imaging and communication. Image quality assessment aims to develop a visual quality metric that correlates well with human visual perception. In this paper, we present a full-reference image quality assessment technique based on DCT Subbands Similarity (DSS). The proposed technique exploits important...
Sensing in the Shortwave Infrared (SWIR) range has only recently been made practical. The SWIR band is not visible to the human eye but shows shadows and contrast in its imagery. Moreover, SWIR sensors are highly tolerant to challenging atmospheric conditions such as fog and smoke. However, fundamental differences exist in the appearance between images sensed in visible and SWIR bands. In particular,...
Undergraduate engineering students who are learning Digital Signal Processing (DSP) are expected to have the ability to implement their theoretical knowledge in various applications soon after graduation. In this paper, we present a laboratory experiment developed for undergraduate students that addresses the challenge of getting them familiar with implementing DSP algorithms in heterogeneous multicore...
In this paper, we propose a novel video foreground detection method that exploits the statistics of 3D spacetime patches. 3D space-time patches are characterized by means of the subspace they span. As the complexity of real-time systems prohibits performing this modeling directly on the raw pixel data, we propose a novel framework in which spatiotemporal data is sequentially reduced in two stages...
Human figure segmentation (HFS) is at the very core of many image and video processing tasks. Many solutions have been proposed for the separation of objects, or more specifically human figures, from image background in a video scene. Unfortunately, these solutions do not provide tight human segmentation in the most general conditions, so only a coarse segmentation of human figures can be assumed...
In a world where surveillance cameras are at every street corner, there is a growing need for synergy among cameras as well as the automation of the data analysis process. This paper deals with the problem of reidentification of objects in a set of multiple cameras inputs without any prior knowledge of the cameras distribution or coverage. The proposed approach is robust to change of scale, lighting...
Compressed video transmitted over unreliable channels such as wireless networks or the Internet may suffer from packet loss. A packet loss leads to image impairment that may cause significant degradation in image quality. In most practical systems, packet loss is detected at the transport layer and a decoder error concealment post-processor tries to mitigate the effect of lost packets. This helps...
Motion estimation plays an important role in modern video coders. In such coders, motion is estimated using a block matching algorithm that estimates the amount of motion on a block-by-block basis. A full search technique for finding the best matching blocks delivers good accuracy but is usually not practical due to its high computational complexity. In this paper, a novel fast block-based motion...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.