Many Wyner-Ziv video coding (WZVC) schemes encode a video sequence into two types of frames, key frames and Wyner-Ziv frames. We have previously presented a Wyner-Ziv video coding scheme that uses backward channel aware motion estimation to encode the key frames, where motion estimation was performed at the decoder and motion information was sent back to the encoder. We refer to these backward predictively coded frames as BP frames. In this paper, we extend our previous work and propose three types of motion estimators. A model is presented to examine the complexity-rate-distortion performance of BP frames for the three motion estimators.

We describe three 2D discrete wavelet transform fixed-point implementations and compare them in terms of quantization error for the Daubechies 9/spl times/7 filter bank. The three implementations are the polyphase form, lifting scheme, and reduced scaling lifting scheme. Experimental results show that the reduced scaling lifting scheme is more robust than the other schemes. Also, the number of cycles the implementations take on a Texas Instruments TMS320C6201 simulator are given as reference.

Interleaving is used before the encoding of source symbols in JPEG to reduce visual artifacts due to lost packets because interleaving distributes the locations of errors. The recovery of lost DCT coefficients in interleaved image compression is investigated in this paper. To restore the lost coefficients, an Maximum a Posteriori (MAP) estimate for the DCT coefficients is proposed. Under the assumption of a Gauss-Markov Random Field (GMRF) model in the pixel domain, the MAP estimate for the lost DCT coefficients is derived.

The majority of screening mammograms are normal. It will be beneficial if a detection system is designed to help radiologists readily identify normal regions of mammograms. In this paper, we will present a binary tree classifier based on the use of global features extracted from different levels of a 2-D Quincunx wavelet decomposition of normal and abnormal regional images. This classifier is then used to classify whether an entire whole-field mammogram is normal. This approach is fundamentally different from other approaches that identify a particular abnormality in that is independent of the particular type of abnormality.

Aims: Social norms interventions for reducing excessive drinking on college campuses have reported mixed results. In an attempt to understand the inconsistencies, this study examined some of the under-examined aspects of the social norms approach.

Design: A cross-sectional survey of undergraduate students at two large mid-western universities in the USA was conducted. Norm proximity (campus vs. friends’ norms), norm types (descriptive vs. injunctive norms), and college drinker types (frequent binge drinkers, occasional binge drinkers, and non-binge drinkers) were differentiated.

Findings: The influences of friends’ norms are stronger than those of campus and those of descriptive norms are stronger than injunctive norms. Friends’ descriptive norms influenced frequent and occasional binge drinkers’ behavior most strongly, whereas the campus descriptive norm and self-efficacy influenced non-binge drinkers’ behavior.

Conclusions: Proximity and types of norms as well as types of college drinkers will need to be distinguished in the future design and evaluation of social norms interventions.

In this paper, we present two rate allocation algorithms for embedded motion compensated video coders. The algorithms are based on the modeling of both the video signal and the coder which allow us to express the coding distortion with a recurrence equation. Our algorithms assign rates to the frames of each group of pictures (GOP) of a video sequence in an optimum way. In the first algorithm, the criterion is to minimize the average (MENAVE) distortion and in the second to achieve constant distortion (CD) in all frames. Numerical simulations show the MENAVE criterion can introduce large variations in quality with no significant gains in average distortion with respect to the CD criterion. We also show how the motion estimation accuracy and the GOP length influence in both strategies.

The perceived as well as actual (in) effectiveness of anti-drug ads has been prominent in public discourse and concern. Using the third person effect hypothesis, this study examined adolescents’ perceptions on the effect of anti-drug ads and the perception’s relationship to attitudes and intentions concerning drug use. The results suggested that adolescents estimated the anti-drug ad effect on the basis of their behavioral experience, the self-anchored expectancy of a pro-social media effect: Those who had used drugs anticipated the effect of anti-drug ads to be smaller than those who had not used drugs. The perceived informative realism of anti-drug ads influenced the perceived message quality, which in turn influenced the perceived effect on self. The perceived effect on self was positively associated with anti-drug attitudes and intentions. The implications on future third person perception research and anti-drug campaign efforts are discussed.

Automatic classification of normal mammograms, which constitute a majority of screening mammograms, is a new approach to computer-aided diagnosis of breast cancer. This approach may be limited, however, by non-separable “crossed” distributions of features that are extracted from digitized mammograms. This work presents a method of mapping such non-separable input features into a new set of separable features that can be utilized, together with ordinary “uncrossed” features, by a support vector machine (SVM) classifier. The results of the proposed scheme show improved performance with 80% sensitivity and 95% specificity.

In this paper we integrate several spatial texture tools into a texture-based video coding scheme. We implemented texture techniques and segmentation strategies in order to detect texture regions in video sequences. These textures are analyzed using temporal motion techniques and are labeled as skipped areas that are not encoded. After the decoding process, frame reconstruction is performed by inserting the skipped texture areas into the decoded frames. We are able to show an improvement over previous texture-based implementations in terms of compression efficiency.

The objective of this paper is to show that for every color space there exists an optimum skin detector scheme such that the performance of all these skin detectors schemes is the same. To that end, a theoretical proof is provided and experiments are presented which show that the separability of the skin and no skin classes is independent of the color space chosen

Numerous studies have identified links among culture, user preferences, and Web site usability. Most of these studies were reports of findings from a behavioral perspective in explaining how cultural factors affect processes of Web-related content design and use. Based on the research of Vygotsky and Nisbett, the authors propose a broader model, referred to as “cultural cognition theory,” by which Web design, like other types of information production, is seen as being shaped by cultural cognitive processes that impact the designers’ cognitive style. This study explores issues related to Web designers’ cultural cognitive styles and their impact on user responses. The results of an online experiment that exposed American1 and Chinese users to sites created by both Chinese and American designers indicate that users perform information-seeking tasks faster when using Web content created by designers from their own cultures.

Previously we presented a network-driven Wyner-Ziv video coding method, in which the motion vectors are derived at the decoder and sent back to the encoder through a reliable backward channel. In this paper, we consider the scenario when the backward channel is error resilient. We study the performance of error resilient methods for our codec. A symmetrical Reversible Variable Length Code (RVLC) is used to reduce the bandwidth requirement of the backward channel. A hybrid scheme with selective coding is proposed to improve the codingefficiency when transmission delay occurs. The experimental results show that these error resilient methods can consistently improve the video quality at the decoder.

The article refines the view that the Internet is increasingly incorporated in everyday life, concluding that the new medium has been partially integrated in the “communication infrastructure” of English-speaking Los Angeles neighborhoods. Here, Internet connectedness is associated with civic participation and indirectly contributes to “belonging” to a residential community. However, in predominantly Asian and Latino areas, the Internet is disengaged from communication environments that lead to belonging, being associated with mainstream media. In these communities its contribution is contradictory; although it probably contributes to the process of ethnic assimilation, it might also lead to disengagement of most educated and technologically savvy residents from their neighborhoods. A possible “magnifying glass effect” is proposed as explanation for the differential integration of new media in community life.

When looked at as a communication task, the watermarking process can be split into three main steps: watermark generation and embedding (information transmission), possible attacks (transmission through the channel), and watermark retrieval (information decoding at the receiver side). We review the main issues in watermark generation and embedding. By focusing on the case of image watermarking, we first discuss the choice of the image features the watermark is superimposed to. Then we consider watermark generation and the rule used to insert the watermark within the host features. By adopting again a communication perspective, some useful hints are given on the way the watermark should be shaped and inserted within the host document for increased robustness against attacks. Given that invisibility is one of the main requirements a watermark must satisfy, the way psycho-visual notions can be used to effectively hide the watermark within an image is carefully reviewed. Rather than insisting on the mathematical aspects of each of the above issues, the main rationale behind the most commonly adopted approaches is given, as well as some illustrative examples

The paper analyzes the 48 contiguous states of the Union and their ability to create and maintain online communities (Yahoo! groups). Multiple regression analysis indicates that the number of online groups and overall amount of online activity increase with amount of social capital. Also, ethnic homogeneity positively influences the number of online groups, while population density and number of IT workers are positively associated with level of online activity. in broad terms, the analyses support the idea that the Internet strengthens offline interaction, sociability online building on sociability offline.