thomas odaniel

Bit-Wise Coding for Exploratory Analysis

Handbook of Research on Electronic Surveys and Measurements

Getting data to yield their insights can be hard work. This is especially true with survey data, ... more Getting data to yield their insights can be hard work. This is especially true with survey data, which tends to be oriented toward the presence or absence of characteristics, or attitude relative to some arbitrary midpoint. A good example of the first comes from surveying the web by looking at websites: Ho (1997) analysed the value-added features used by 1800 commercial websites to form a profile of commercial use of the Web within various industries; the U.S. Federal Trade Commission (2000) examined the characteristics of the privacy policy on 426 websites; West (2004) looked at 1,935 national government websites for 198 nations around the world, evaluating the presence of various features dealing with information availability, service delivery, and public access. A good example of the second comes from any number of studies that use the ‘Likert scale’. These studies are characterised by (a) large sample sizes and (b) an analysis that must incorporate a large number of ’indicator’ ...

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The game of internet B2B

Managing It in Government Business Communities, 2003

Game theory accepts the expected utility hypothesis and reduces roles to the "informed" and the "... more Game theory accepts the expected utility hypothesis and reduces roles to the "informed" and the "uninformed" player in order to facilitate the process of constructing mathematical models. When quality is known to the seller, but not to the buyer, private markets can be modeled as a screening game, and public exchanges as a signaling game. In a private market, the buyer moves first by revealing acceptable quality. In a public exchange, the seller moves first by publicizing product information. Adoption of the technology will ultimately depend on perception of the game and payoffs relative to risks. Price competition is a significant negative externality, and opportunistic representations a real danger. When search costs are low, scope for differentiation limited, and information about quality is incomplete or imperfect, the conditions for a lemon's market are fulfilled. A focus on commodities, global reach, and building a positive brand image for Internet business-to-business (B2B) in general should prove effective.

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Combining content and context information for video events classification and retrieval

Content-Based Video Retrieval has been a challenging problem and its performance relies on the mo... more Content-Based Video Retrieval has been a challenging problem and its performance relies on the modeling and representation of the video data and the underlying similarity metric. Most existing metrics evaluate pairwise shot similarity based only on shot perceptual content, which is denoted as content-based similarity. In this study, our concern is to recognize and detect video events that are “semantically similar”. Thus, we extend the content-based similarity to measure the conceptual content of shots. Here, conceptual ...

Human action detection and classification using optimal bag-of-words representation

Based on interest keypoints extracted as salient space-time volumes, human-action can be describe... more Based on interest keypoints extracted as salient space-time volumes, human-action can be described as a “bag of visual words”. This representation has been frequently used in the classification of image and video data. The representation choices regarding the dimension, selection, and weighting of visual words are crucial to the classification performance. In this paper, we address the problem of efficient human-action classification by selecting an optimal bag-of-words representing an action. We introduce genetic ...

Evolutionary optimization of video event classification

International Journal of Computer Mathematics, 2011

Detection and classification of semantic events in video documents have been major tasks in the d... more Detection and classification of semantic events in video documents have been major tasks in the domain of automatic video analysis. The multimodality of video data brings about challenging issues and the effectiveness of its automatic semantic processing has been hampered by the video semantic gap, that is, the gap between low-level visual and spatio-temporal features used as a digital representation of video documents and their semantic interpretation. Traditionally, these low-level features are concatenated in high- ...

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