A Short Review Of Neural Network Techniques In Visual Servoing Of Robotic Manipulators.

Robotics is one of the most challenging applications of soft computing techniques. It is characterized by direct interaction with a real world, sensory feedback and a complex control system

Goal event detection in soccer videos via collaborative multimodal analysis

Detecting semantic events in sports video is crucial for video indexing and retrieval. Most existing works have exclusively relied on video content features, namely, directly available and extractable data from the visual and/or aural channels. Sole reliance on such data however, can be problematic due to the high-level semantic nature of video and the difficulty to properly align detected events with their exact time of occurrences. This paper proposes a framework for soccer goal event detection through collaborative analysis of multimodal features. Unlike previous approaches, the visual and aural contents are not directly scrutinized. Instead, an external textual source (i.e., minute-by-minute reports from sports websites) is used to initially localize the event search space. This step is vital as the event search space can significantly be reduced. This also makes further visual and aural analysis more efficient since excessive and unnecessary non-eventful segments are discarded, culminating in the accurate identification of the actual goal event segment. Experiments conducted on thirteen soccer matches are very promising with high accuracy rates being reported

BIOCHEMICAL ROLE OF XANTHINE OXIDOREDUCTASE AND ITS NATURAL INHIBITORS: AN OVERVIEW

Xanthine oxidoreductase (XOR) is a widely distributed housekeeping enzyme in mammals that catalyzes the last two steps in human purine catabolism to produce uric acid. The enzyme exists as a homodimer with independent electron transfer in each monomer. This has been studied extensively as a major constituent of the milk fat globule membrane (MFGM) which surrounds fat globules in cow's milk even though purine catabolism is the most accepted function of XOR. A huge number of literature highlights on the different catalytic forms of XOR and their importance in the generation of reactive oxygen species/reactive nitrogen species (ROS/RNS) and synthesis of uric acid which are involved in many physiological and pathological processes. However, a slight ambiguity resides in their biochemical functions. The aim of this article was to review the literature published on the structural, catalytical, physiological and pathological role of XOR and to resolve the ambiguity in biochemical processes and to firm up various natural inhibitors of XOR collectively. Uric acid, the product of purine catabolism shows antioxidant activity, and XOR-derived ROS and RNS play a role in innate immunity, milk secretion and also be involved in signaling and metabolism of xenobiotics. Furthermore, XOR is likely to be engaged in pathology because of excessive production of uric acid and ROS/RNS. This review also reports natural XOR inhibitors in plants which inhibit the enzyme to treat XOR associated pathology

Harmony Search-Based Cluster Initialization For Fuzzy C-Means Segmentation Of MR Images.

We propose a new approach to tackle the well known fuzzy c-means (FCM) initialization problem

Automated Extraction Of Small Structures In Medical Images Based On Multi Scale Approach.

Multi scale techniques coupled with active contours have been widely used to locate the boundaries of structures in noisy images. Significant fine structures have been emphasized through appropriate scale selection

Soccer event detection via collaborative multimodal feature analysis and candidate ranking

This paper presents a framework for soccer event detection through collaborative analysis of the textual, visual and aural modalities. The basic notion is to decompose a match video into smaller segments until ultimately the desired eventful segment is identified. Simple features are considered namely the minute-by-minute reports from sports websites (i.e. text), the semantic shot classes of far and closeup-views (i.e. visual), and the low-level features of pitch and log-energy (i.e. audio). The framework demonstrates that despite considering simple features, and by averting the use of labeled training examples, event detection can be achieved at very high accuracy. Experiments conducted on ~30-hours of soccer video show very promising results for the detection of goals, penalties, yellow cards and red cards

Deformable Boundary Initialization For Object Detection In Natural Images Using, Multiple Scale Edges.

The deformable contour model is a popular technique to segment object in image processing. Its applications range from edge and curve detection, to shape modeling and visual tracking

Segmentation Using Wavelet And GVF Snake.

The Gradient Vector Flow (GVF) snake is a popular technique to segment object in image processing. Its advantages arc insensitivity to contour initialization and its ability to deform into highly concave part of the object compared to other deformable contour models

Soccer event detection via collaborative multimodal feature analysis and candidate ranking

This paper presents a framework for soccer event detection through collaborative analysis of the textual, visual and aural modalities. The basic notion is to decompose a match video into smaller segments until ultimately the desired eventful segment is identified. Simple features are considered namely the minute-by-minute reports from sports websites (i.e. text), the semantic shot classes of far and closeup-views (i.e. visual), and the low-level features of pitch and log-energy (i.e. audio). The framework demonstrates that despite considering simple features, and by averting the use of labeled training examples, event detection can be achieved at very high accuracy. Experiments conducted on ~30-hours of soccer video show very promising results for the detection of goals, penalties, yellow cards and red cards

Textured Renyl Entropy for Image Thresholding

This paper introduces Textured Renyi Entropy for image thresholding based on a novel combination mechanism