Suspected Blood Indicator to Identify Active Gastrointestinal Bleeding: A Prospective Validation

Background: The suspected blood indicator (SBI) function in the RAPID Reader v8.3 program was designed to quickly identify the presence of blood in video capsule endoscopy. While previous retrospective studies have shown that the SBI function was accurate in detecting the presence of active bleeding in the small bowel, its specificity and sensitivity were poor. Methods: An initial retrospective review (phase 1) compared 115 patients with active gastrointestinal bleeding seen on video capsule endoscopy (VCE) to 115 patients with no active bleeding seen on VCE to produce a highly accurate algorithm. A prospective study (phase 2) was then performed by applying the algorithm to 100 consecutive patients who received VCE for the following indications: obscure bleeding, iron deficiency anemia, melena, and hematochezia. Results: The initial retrospective review found that eight contiguous SBI markers had a specificity of 100% in identifying active gastrointestinal bleeding regardless of the total number of SBI markers, while two or more contiguous SBI markers had a sensitivity of 96.5%. Using a cutoff of eight contiguous SBI markers, the prospective arm found that there was a 100% sensitivity and specificity in detecting active gastrointestinal bleeding (P \u3c 0.001). Conclusions: The SBI function can greatly facilitate the identification of active gastrointestinal bleeding on VCE by using eight contiguous SBI markers as a cutoff for active bleeding

Recognition of nonmanual markers in American Sign Language (ASL) using non-parametric adaptive 2D-3D face tracking

This paper addresses the problem of automatically recognizing linguistically significant nonmanual expressions in American Sign Language from video. We develop a fully automatic system that is able to track facial expressions and head movements, and detect and recognize facial events continuously from video. The main contributions of the proposed framework are the following: (1) We have built a stochastic and adaptive ensemble of face trackers to address factors resulting in lost face track; (2) We combine 2D and 3D deformable face models to warp input frames, thus correcting for any variation in facial appearance resulting from changes in 3D head pose; (3) We use a combination of geometric features and texture features extracted from a canonical frontal representation. The proposed new framework makes it possible to detect grammatically significant nonmanual expressions from continuous signing and to differentiate successfully among linguistically significant expressions that involve subtle differences in appearance. We present results that are based on the use of a dataset containing 330 sentences from videos that were collected and linguistically annotated at Boston University

Segmentation and tracking of video objects for a content-based video indexing context

This paper examines the problem of segmentation and tracking of video objects for content-based information retrieval. Segmentation and tracking of video objects plays an important role in index creation and user request definition steps. The object is initially selected using a semi-automatic approach. For this purpose, a user-based selection is required to define roughly the object to be tracked. In this paper, we propose two different methods to allow an accurate contour definition from the user selection. The first one is based on an active contour model which progressively refines the selection by fitting the natural edges of the object while the second used a binary partition tree with aPeer ReviewedPostprint (published version

Computer-based tracking, analysis, and visualization of linguistically significant nonmanual events in American Sign Language (ASL)

Our linguistically annotated American Sign Language (ASL) corpora have formed a basis for research to automate detection by computer of essential linguistic information conveyed through facial expressions and head movements. We have tracked head position and facial deformations, and used computational learning to discern specific grammatical markings. Our ability to detect, identify, and temporally localize the occurrence of such markings in ASL videos has recently been improved by incorporation of (1) new techniques for deformable model-based 3D tracking of head position and facial expressions, which provide significantly better tracking accuracy and recover quickly from temporary loss of track due to occlusion; and (2) a computational learning approach incorporating 2-level Conditional Random Fields (CRFs), suited to the multi-scale spatio-temporal characteristics of the data, which analyses not only low-level appearance characteristics, but also the patterns that enable identification of significant gestural components, such as periodic head movements and raised or lowered eyebrows. Here we summarize our linguistically motivated computational approach and the results for detection and recognition of nonmanual grammatical markings; demonstrate our data visualizations, and discuss the relevance for linguistic research; and describe work underway to enable such visualizations to be produced over large corpora and shared publicly on the Web

Morphological operators for very low bit rate video coding

This paper deals with the use of some morphological tools for video coding at very low bit rates. Rather than describing a complete coding algorithm, the purpose of this paper is to focus on morphological connected operators and segmentation tools that have proved to be attractive for compression.Peer ReviewedPostprint (published version

Through the Kinesthetic Lens : Observation of Social Attunement in Autism Spectrum Disorders

© 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).This paper will present a movement-informed perspective to social attunement in Autism Spectrum Disorders (ASD). BACKGROUND: Dance movement therapy (DMT) is a psychotherapeutic intervention that is used with participants with ASD in various settings. Regular clinical outcome monitoring in an outpatient setting in the Netherlands had shown positive effects on social attunement capacities in young people with ASD. However, a systematic study of the development of social attunement movement behaviors of participants with ASD throughout a DMT intervention was not yet available. METHODS: A series of individual cases of DMT with young people with ASD (mean age 12.2 years.) were analyzed for changes in interpersonal movement behaviors employing video-based retrospective observation. RESULTS: The findings were summarized in an observation scale for interpersonal movement behaviors. This scale was then tested for its applicability for the monitoring of social attunement behaviors throughout therapy. DISCUSSION: A movement-informed perspective may be helpful to inventory changes in social attunement behaviors in participants with ASD. The relevance of a movement-informed perspective for the concept of social attunement in ASD will be discussed.Peer reviewedFinal Published versio

The Reification of Hegemonic Masculinity via Heteronormativity, Sexual Objectification, and Masculine Performances in Tau Kappa Epsilon Recruitment Videos

Fraternity members constitute a large percentage of men who hold highly influential jobs in politics, large corporations, and the like. Since fraternities are limited to men-only, it is important to examine how masculinity is both rhetorically constructed and subsequently performed. Tau Kappa Epsilon (TKE), the fraternity with the largest amount of chapters nationwide, is the focus of my analysis. Its popularity among college campuses signifies that its recruitment is successful and that, regardless of initiation into the fraternity, many men (and women) view TKE as an example of masculinity. In my analysis, I examine TKE recruitment videos from various universities that span the Northeastern, Southern, Midwestern, and Western regions of the United States. My analysis identified five markers that indicate an abidance to hegemonic masculinity, or the varying construction of the “ideal” man that is impossible to fully achieve: dominance (ascendency), sexual objectification of women, heteronormativity, alcohol use, and recreational movement of the body. These markers demonstrate how TKE’s sustainment of hegemonic masculine ideals is problematic to society as a whole given the influence of fraternities beyond campus borders