Automated camera ranking and selection using video content and scene context

PhDWhen observing a scene with multiple cameras, an important problem to solve is to automatically identify “what camera feed should be shown and when?” The answer to this question is of interest for a number of applications and scenarios ranging from sports to surveillance. In this thesis we present a framework for the ranking of each video frame and camera across time and the camera network, respectively. This ranking is then used for automated video production. In the first stage information from each camera view and from the objects in it is extracted and represented in a way that allows for object- and frame-ranking. First objects are detected and ranked within and across camera views. This ranking takes into account both visible and contextual information related to the object. Then content ranking is performed based on the objects in the view and camera-network level information. We propose two novel techniques for content ranking namely: Routing Based Ranking (RBR) and Multivariate Gaussian based Ranking (MVG). In RBR we use a rule based framework where weighted fusion of object and frame level information takes place while in MVG the rank is estimated as a multivariate Gaussian distribution. Through experimental and subjective validation we demonstrate that the proposed content ranking strategies allows the identification of the best-camera at each time. The second part of the thesis focuses on the automatic generation of N-to-1 videos based on the ranked content. We demonstrate that in such production settings it is undesirable to have frequent inter-camera switching. Thus motivating the need for a compromise, between selecting the best camera most of the time and minimising the frequent inter-camera switching, we demonstrate that state-of-the-art techniques for this task are inadequate and fail in dynamic scenes. We propose three novel methods for automated camera selection. The first method (¡go f ) performs a joint optimization of a cost function that depends on both the view quality and inter-camera switching so that a i Abstract ii pleasing best-view video sequence can be composed. The other two methods (¡dbn and ¡util) include the selection decision into the ranking-strategy. In ¡dbn we model the best-camera selection as a state sequence via Directed Acyclic Graphs (DAG) designed as a Dynamic Bayesian Network (DBN), which encodes the contextual knowledge about the camera network and employs the past information to minimize the inter camera switches. In comparison ¡util utilizes the past as well as the future information in a Partially Observable Markov Decision Process (POMDP) where the camera-selection at a certain time is influenced by the past information and its repercussions in the future. The performance of the proposed approach is demonstrated on multiple real and synthetic multi-camera setups. We compare the proposed architectures with various baseline methods with encouraging results. The performance of the proposed approaches is also validated through extensive subjective testing

Suicide methods in south Asia over two decades (2001-2020)

Background: Suicide is a global preventable public health problem. About a quarter of all suicides in the world occur in South Asia. As means restriction is an important suicide prevention strategy, gaining knowledge of the common suicide methods and their changing trends in each country and region is crucial.Aims: We aimed to assess the suicide methods in South Asian countries over the last two decades.Methods: A search was performed in PubMed, PubMed Central, Scopus, and Google Scholar with the search terms. Original articles of quantitative studies, published in the English language, from 2001 to 2020, with full-accessible text, that rank different methods of suicide in eight South Asian countries, were included.Results: A total of 68 studies were found eligible for review. The Maximum number of studies were found from India (n = 38), followed by Bangladesh (n = 12), Pakistan (n = 9), Sri Lanka (n = 6), and Nepal (n = 3). Hanging (n = 40, 55.8%) and poisoning (n = 24, 35.3%) were the two most common suicide methods reported, in that order. Hanging followed by poisoning were the commonest suicide methods in Bangladesh, India, and Pakistan while in Sri Lanka, poisoning was the preferred method to hanging. There is a decline in suicide by poisoning and an increase in suicide by hanging in Sri Lanka, Bangladesh, and India. Although hanging is still the commonest method in Pakistan, the use of firearms is growing in recent years (2011-2020).Conclusions: There is a steady decline in the incidence of suicides by poisoning following pesticide regulations in South Asian countries. However, there is heterogeneity of study methods, probable under-reporting of suicide, and lack of robust suicide data

Vicia plants-A comprehensive review on chemical composition and phytopharmacology

The plants belonging to the genus Vicia are of great interest as a source of many bioactive compounds and micronutrients. A snapshot of their cultivation, habitat, main components, from which essential oils can be obtained, is given. The traditional medicinal uses of Vicia plants are also reported, as well as the wide spectrum of the main biological activities attributed to Vicia plants is discussed regarding potential health beneficial properties, in particular anti-Parkinson, anticholinesterase, antidepressant, anticonvulsant, antimicrobial, cytotoxic, antioxidant, antiinflammatory and antinociceptive, antidiabetic, antihemolytic, anticoagulant, estrogenic, diuretic, antihypoxic activities