70,049 research outputs found

    Affective Scene Generation

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    A new technique for generating virtual environments is proposed, whereby the user describes the environment that they wish to create using adjectives. An entire scene is then procedurally generated, based on the mapping of these adjectives to the parameter space of the procedural models used. This mapping is determined through a pre-process, during which the user is presented with a number of scenes and asked to describe them using adjectives. With such a technique, the ability to create complex virtual environments is extended to users with little or no technical knowledge, and additionally provides a means for experienced users to quickly generate a large, complex environment which can then be modified by hand

    Looking Beyond a Clever Narrative: Visual Context and Attention are Primary Drivers of Affect in Video Advertisements

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    Emotion evoked by an advertisement plays a key role in influencing brand recall and eventual consumer choices. Automatic ad affect recognition has several useful applications. However, the use of content-based feature representations does not give insights into how affect is modulated by aspects such as the ad scene setting, salient object attributes and their interactions. Neither do such approaches inform us on how humans prioritize visual information for ad understanding. Our work addresses these lacunae by decomposing video content into detected objects, coarse scene structure, object statistics and actively attended objects identified via eye-gaze. We measure the importance of each of these information channels by systematically incorporating related information into ad affect prediction models. Contrary to the popular notion that ad affect hinges on the narrative and the clever use of linguistic and social cues, we find that actively attended objects and the coarse scene structure better encode affective information as compared to individual scene objects or conspicuous background elements.Comment: Accepted for publication in the Proceedings of 20th ACM International Conference on Multimodal Interaction, Boulder, CO, US

    RRL: A Rich Representation Language for the Description of Agent Behaviour in NECA

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    In this paper, we describe the Rich Representation Language (RRL) which is used in the NECA system. The NECA system generates interactions between two or more animated characters. The RRL is a formal framework for representing the information that is exchanged at the interfaces between the various NECA system modules

    Agents for educational games and simulations

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    This book consists mainly of revised papers that were presented at the Agents for Educational Games and Simulation (AEGS) workshop held on May 2, 2011, as part of the Autonomous Agents and MultiAgent Systems (AAMAS) conference in Taipei, Taiwan. The 12 full papers presented were carefully reviewed and selected from various submissions. The papers are organized topical sections on middleware applications, dialogues and learning, adaption and convergence, and agent applications

    Personalized video summarization by highest quality frames

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    In this work, a user-centered approach has been the basis for generation of the personalized video summaries. Primarily, the video experts score and annotate the video frames during the enrichment phase. Afterwards, the frames scores for different video segments will be updated based on the captured end-users (different with video experts) priorities towards existing video scenes. Eventually, based on the pre-defined skimming time, the highest scored video frames will be extracted to be included into the personalized video summaries. In order to evaluate the effectiveness of our proposed model, we have compared the video summaries generated by our system against the results from 4 other summarization tools using different modalities

    From Bogeyman to Bison: A herd-like amnesia of HIV?

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    Copyright @ The International Federation for Theatre Research, 2011Queer theorists from across a broad range of disciplines argue that we are in a 'normalizing’ or ‘homonormative’ period, in which marginalized subjectivities strive to align themselves with hegemonic norms. In terms of LGBTQ rights and representation, it can be argued that this has resulted in an increased visibility of ‘desirable’ gays (monogamous – ideally civil-partnered, white, financially independent, able-bodied) and the decreased visibility of ‘undesirable’ gays (the sick, the poor, the non-white, the non-gender-conforming). Focusing specifically on the effects of this hierarchy on the contemporary theatrical representation of gay HIV/AIDS subjectivities, this article looks at two performances, Reza Abdoh's Bogeyman (1991) and Lachlan Philpott's Bison (2009–10). The article argues that HIV/AIDS performance is as urgently necessary today as in the early 1990s, and that a queer dramaturgy, unafraid to resist the lure of normativity or the ‘gaystreaming’ of LGBT representation, is a vital intervention strategy in contemporary (LGBT) theatre
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