Automatic genre identification for content-based video categorization

This paper presents a set of computational features originating from our study of editing effects, motion, and color used in videos, for the task of automatic video categorization. These features besides representing human understanding of typical attributes of different video genres, are also inspired by the techniques and rules used by many directors to endow specific characteristics to a genre-program which lead to certain emotional impact on viewers. We propose new features whilst also employing traditionally used ones for classification. This research, goes beyond the existing work with a systematic analysis of trends exhibited by each of our features in genres such as cartoons, commercials, music, news, and sports, and it enables an understanding of the similarities, dissimilarities, and also likely confusion between genres. Classification results from our experiments on several hours of video establish the usefulness of this feature set. We also explore the issue of video clip duration required to achieve reliable genre identification and demonstrate its impact on classification accuracy.<br /

Improving Automatic Content Type Identification from a Data Set

Data file layout inference refers to building the structure and determining the metadata of a text file. The text files dealt within this research are personal information records that have a consistent structure. Traditionally, if the layout structure of a text file is unknown, the human user must undergo manual labor of identifying the metadata. This is inefficient and prone to error. Content-based oracles are the current state-of-the-art automation technology that attempts to solve the layout inference problem by using databases of known metadata. This paper builds upon the information and documentation of the content-based oracles, and improves the databases of the oracles through experimentation

“Here I Come to Save the Day!” Does Parental Mediation Moderate Associations between Superhero Exposure and Behavior in Young Boys?

Studies have shown that superheroes are very popular among preschool boys, but research on the effect of exposure to superhero media and toys is limited. Superheroes frequently use aggression to defend others, and certain characteristics of superheroes encourage wishful identification among boys. However, it is unknown whether superhero exposure and identification is associated with aggression, prosocial behaviors, or behaviors with the purpose of defending others. Parental active mediation of media (i.e discussions of media content) can reduce the negative effects of aggressive content by modifying children’s perceptions of aggression. This study aimed to examine the associations between superhero exposure/identification and aggressive, prosocial, and defending behavior in preschool boys and to examine whether parental active mediation of television content moderates these associations. Sixty-four parents of preschool boys (mean age = 60.6 months) completed measures of their child’s superhero identification/exposure, their own active mediation, and their child’s aggressive and prosocial behaviors. Results revealed that superhero exposure and identification was associated with decreased prosocial behavior and increased verbal aggression. These associations were not moderated by active parental mediation. Additionally, low levels of parental mediation, combined with high levels of superhero identification/exposure were positively correlated with aggressive defending behaviors. Future research should examine gender and age differences in the associations between superhero exposure and behavior. Additionally, questions remain about the differential effects of discussing media content with preschoolers, as this form of mediation may be less effective for certain types of programs during the preschool years. Additional keywords: early childhoo

Real or not? Identifying untrustworthy news websites using third-party partnerships

Untrustworthy content such as fake news and clickbait have become a pervasive problem on the Internet, causing significant socio-political problems around the world. Identifying untrustworthy content is a crucial step in countering them. The current best-practices for identification involve content analysis and arduous fact-checking of the content. To complement content analysis, we propose examining websites? third-parties to identify their trustworthiness. Websites utilize third-parties, also known as their digital supply chains, to create and present content and help the website function. Third-parties are an important indication of a website?s business model. Similar websites exhibit similarities in the third-parties they use. Using this perspective, we use machine learning and heuristic methods to discern similarities and dissimilarities in third-party usage, which we use to predict trustworthiness of websites. We demonstrate the effectiveness and robustness of our approach in predicting trustworthiness of websites from a database of News, Fake News, and Clickbait websites. Our approach can be easily and cost-effectively implemented to reinforce current identification methods

Identification of the Content of Biologically Active Substances in Nut Shots

One of ways of the food industry development is a search for non-traditional raw material resources with the high content of physiologically healthy nutrients. A promising way of biologically important raw materials is secondary products of oil production, especially shots. The aim of the research was to determine the content of biologically active substances in nut shots (cedar nut shot (CNS) and walnut shot (WNS)). The quality composition of the phenol nature was established by reactions with 10 % alcohol solutions of FeCl3, NaOH, АlCl3 and cyanidin test. The content of hydroxycinnamic acids (with recalculation for chlorogenic acid) was determined by the spectrophotometric method. The amount of tanning substances – by the method of permanganometry. The analysis of the sum of flavonoids (in recalculation for rutin) was realized by the method of differential spectrophotometry. Carbonic acids were identified by the method of gas-liquid chromatography. There were revealed quality differences in the composition of substances of the phenol nature for CNS and WNS. WNS is characterized by the higher content of hydroxycinnamic acids – in 2,5 times, tanning substances – in 3,1 times and flavonoids – in 60 times, comparing with CNS. The content of unsaturated fats in WNS is 95,79 % of the total number of fats, and in CNS – 80,05 %. The ratio Omega-3/Omega-6 for the fat component of CNS is 1/0,06, and for WNS fats – 1/1,3. WNS comparing with CNS is characterized by the higher content of Malic (in 5,3 times) and fumaric (in 100 times)acid. CNS contains more lemon (in 2,9 times) and succinic (in 2,2 times) acid. That is, identification of the content of some biologically active substances in nut shots allows to recommend them for usage in technologies of food products. It allows to enrich them with phenol compounds, polyunsaturated fats and organic acids

The identification of wheat genetic resources with high dietary fiber content

The quality properties of different variety mixtures and composite cross populations were studied with the aim of identifying genotypes with high dietary fiber content and to cultivate and examine the effect of these components on the end-use quality. Based on the results of a Europe-wide trial, we could detect two populations and variety mixtures which had significantly higher total (TOTAX) and water extractable arabinoxylan (WEAX) content, than most of the studied genotypes, with positive effect on the human health. These populations/mixtures are promising dietary fiber resources and suitable not only for organic but also for conventional farming, especially in Central Europe. The seeds of the best population (Mv Elit CCP) was multiplied to supply it for interested farmers in Hungary in the frame of the European trial on organic heterogeneous materials