Traditional algorithm visualization software supports the creation of "high fidelity" visualizations, which depict the target algorithm for arbitrary input, and have the polished look of textbook figures. Dr...
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Knowing the object in hand can offer essential contextual information revealing a user's fine-grained activities. In this paper, we investigate the feasibility, accuracy, and robustness of recognizing the uninstru...
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In this paper, we propose a transfer learning-based approach for road sign classification using pre-trained CNN models. We evaluate the performance of our fine-tuned VGG-16, VGG-19, ResNet50 and EfficientNetB0 models ...
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Three-dimensional (3D) displays become more and more popular in many fields, because they can provide amazing visual effects. However, visual fatigue as one of the critical factors has seriously impeded the wide range...
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Based on many experiences of developing interactive systems by the authors, a framework for the description and analysis of interaction has been developed. The dimensions of this multimodal interaction space have been...
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We suggest a face detection method for video surveillance system to store a user's images fast and robustly. Our system consists of face and motion detectors. The face detector adopts a gentle AdaBoost algorithm t...
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ISBN:
(纸本)0769521223
We suggest a face detection method for video surveillance system to store a user's images fast and robustly. Our system consists of face and motion detectors. The face detector adopts a gentle AdaBoost algorithm to detect a face. Employing a module switching network, we extend the detectable facial pose range without loss of time. The motion detector, using temporal edges and temporal variance, decides whether a user exists when the face detector fails to detect a face. The proposed method, implemented in the form of software and a PCI interface card, displays 92.3% detection ratio in the test for CMU test DB.
In this paper we describe a novel approach for searching large data sets from a mobile phone. Existing interfaces for mobile search require keyword text entry and are not suited for browsing. Our alternative uses a hy...
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ISBN:
(纸本)1595931783
In this paper we describe a novel approach for searching large data sets from a mobile phone. Existing interfaces for mobile search require keyword text entry and are not suited for browsing. Our alternative uses a hybrid model to de-emphasize tedious keyword entry in favor of iterative data filtering. We propose navigation and selection of hierarchical metadata (facet navigation), with incremental text entry to further narrow the results. We conducted a formative evaluation to understand the relative advantages of keyword entry versus facet navigation for both browse and search tasks on the phone. We found keyword entry to be more powerful when the name of the search target is known, while facet navigation is otherwise more effective and strongly preferred. Copyright 2006 ACM.
Stereoscopic displays are promising and have many applications in various fields because they can provide amazing visual effects. However, one of the inevitable problems is that they also cause visual fatigue after du...
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We describe progress using a user-centered design process to migrate a family therapy game to a web-based therapist tool, called FamilySense, that supports therapists creating part of the therapeutic game. Using cards...
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