This paper documents how children embed multimodality in their journal entries using blogs. Multimodality is the combination of semiotic modes that may include spoken language(s), written language(s), static or moving images and music. Each of them generally offers opportunities for the construction of meaning. In this research, a case study approach was employed to gain an in-depth understandi...

Over the past years, inverse perspective mapping has been successfully applied to several problems in the field of Intelligent Transportation Systems. In brief, the method consists of mapping images to a new coordinate system where perspective effects are removed. The removal of perspective associated effects facilitates road and obstacle detection and also assists in free space estimation. The...

This content analysis study, employing a multimodal perspective and critical visual analysis, set out to analyze gender representations in Top Notch series, one of the highly used ELT textbooks in Iran. For this purpose, six images were selected from these series and analyzed in terms of ‘representational’, ‘interactive’ and ‘compositional’ modes of meanings. The result indicated that there are...

This article presents a tripartite framework for analyzing multimodal texts. The three analytical perspectives presented include: (1) perceptual, (2) structural, and (3) ideological analytical processes. Using Anthony Browne’s picturebook Piggybook as an example, assertions are made regarding what each analytical perspective brings to the interpretation of multimodal texts and how these perspec...

Drone visuals are rapidly becoming part of our sociocultural imaginaries, generating distinct images that differ from traditional visual conventions and producing unexpected perspectives the world reveal hidden aspects surroundings. Despite growing use camera-laden drones in a range commercial non-commercial activities, to date, little scholarly attention has been paid semiotics drone visuals. ...

This paper presents a statistical approach to developing multimodal recognition systems and, in particular, to integrating the posterior probabilities of parallel input signals involved in the multimodal system. We first identify the primary factors that influence multimodal recognition performance by evaluating the multimodal recognition probabilities. We then develop two techniques, an estima...

In this paper, we review the major approaches to multimodal human–computer interaction, giving an overview of the field from a computer vision perspective. In particular, we focus on body, gesture, gaze, and affective interaction (facial expression recognition and emotion in audio). We discuss user and task modeling, and multimodal fusion, highlighting challenges, open issues, and emerging appl...

Understanding the context, structure, activities, and content of software development processes found in practice has been and remains a challenging problem. In the world of free/open source software development, discovering and understanding what processes are used in particular projects is important in determining how they are similar to or different from those advocated by the software engin...