Position, professional expertise and functions of an educator of child care homes in Lithuania

Speaking about professionals, working with children at child care homes in Lithuania, first of all we encounter a problem of terminology. This problem rises, because in various countries and languages we call these professionals differently. In Lithuania we call them ”aukletojai”. We also use the word ”aukletojas” when speaking about both professionals, working directly with children at kindergartens, and parents, as all parents are educators of their children. We suppose, that the word ”aukletojas” corresponds to the German “erzieher”, and “aukleti” to “erziehen”. Every “aukletojas” in Lithuania clearly realizes, that he is a pedagogue, because in this country every professional, involved in educational work with children – an ”aukletojas”, a teacher, a social pedagogue and a special pedagogue – is called a pedagogue. In this context it is essential to conceive that in Lithuania an ”educator” and a ”social pedagogue” are different pedagogical professions and that none of the ”aukletojas” identify himself as a social pedagogue.

Content Classification of Multimedia Documents using Partitions of Low-Level Features

Audio-visual documents obtained from German TV news are classified according to the IPTC topic categorization scheme. To this end usual text classification techniques are adapted to speech, video, and non-speech audio. For each of the three modalities word analogues are generated: sequences of syllables for speech, “video words” based on low level color features (color moments, color correlogram and color wavelet), and “audio words” based on low-level spectral features (spectral envelope and spectral flatness) for non-speech audio. Such audio and video words provide a means to represent the different modalities in a uniform way. The frequencies of the word analogues represent audio-visual documents: the standard bag-of-words approach. Support vector machines are used for supervised classification in a 1 vs. n setting. Classification based on speech outperforms all other single modalities. Combining speech with non-speech audio improves classification. Classification is further improved by supplementing speech and non-speech audio with video words. Optimal F-scores range between 62% and 94% corresponding to 50% - 84% above chance. The optimal combination of modalities depends on the category to be recognized. The construction of audio and video words from low-level features provide a good basis for the integration of speech, non-speech audio and video.