We approach the general problem of classifying machine-printed documents into genres. Layout is a critical factor in recognizing fine-grained genres, as document content features are similar. Document genre is determined from the layout structure detected from scanned binary images of the document pages, using no OCR results and minimal a priori knowledge of document logical structures. Our met...

We investigate the problem of automated video classification by analysing the low-level audio-visual signal patterns along the time course in a holistic manner. Five popular TV broadcast genre are studied including sports, cartoon, news, commercial and music. A novel statistically based approach is proposed comprising two important ingredients designed for implicit semantic content characterisa...

Current web technology has brought us a scenario that information about a certain topic is widely dispersed in data from different domains and data modalities, such as texts and images from news and social media. Automatic extraction of the most informative and important multimedia summary (e.g. a ranked list of inter-connected texts and images) from massive amounts of cross-media and cross-gen...

This paper reports on an approach to the analysis of form (layout and formatting) during genre recognition recorded using eye tracking. The researchers focused on eight different types of e-mail, such as calls for papers, newsletters and spam, which were chosen to represent different genres. The study involved the collection of oculographic behaviour data based on the scanpath duration and scan...

Scientific writing is a general label with a great deal of variation at any period. Empirical evidence of variation within genres of the early periods has been produced by studies of the Helsinki Corpus of English Texts, as they have shown that umbrella categories like ‘religious treatises’ or ‘scientific writing’ contain very heterogeneous texts (Meurman-Solin 1993, Taavitsainen 1993, 1994a). ...

0198-9715/$ see front matter 2013 Elsevier Ltd. All rights reserved. http://dx.doi.org/10.1016/j.compenvurbsys.2013.09.005 ⇑ Corresponding author. Address: Tarbiat Modares University, Jalal Ale Ahmad Highway, P.O. Box 14115-111, Tehran, Iran. Tel.: +98 21 82884698; fax: +98 21 82884180. E-mail addresses: [email protected] (J. Karami), [email protected] (A. Alimohammadi), Taseifouri@y...

Content-based music retrieval is desirable in Peer-to-Peer (P2P) networks, considering its popularity for users and its ability of semantic search, intensive computing cost raises a barrier to efficiency and scalability though. In this paper, we propose an approach of music genre retrieval based on peer interest clustering. Automatic music feature extraction and adaptive shared music file clust...

An algorithm to efficiently determine an appropriate number of components for a Gaussian mixture model is presented. For determining the optimal model complexity we do not use a classical iterative procedure, but use the strong correlation between a simple clustering method (BSAS [13]) and an MDL-based method [6]. This approach is computationally efficient and prevents the model from representi...

This paper presents a wordlist-based lexical richness approach to testing distributional hypothesis for genre analysis in translation studies. In recent years, there has been continuing interest in patent translation. However, there are only a few lay their interests on comparison between native and non-native writing. The proposed approach to terms distrubution of technical words contained in ...

As an alternative to the price-based traditional auction model, the multi-attribute auction model is an integrated model requiring the simultaneous trade of different types of attributes as the sellers and buyers deal. As a result, the design and modeling of the auction mechanism have become very difficult. This paper proposes a multiattribute auction model using the dominance-based rough sets ...