Reducing the complexity of a multiview H.264/AVC and HEVC hybrid architecture

With the advent of 3D displays, an efficient encoder is required to compress the video information needed by them. Moreover, for gradual market acceptance of this new technology, it is advisable to offer backward compatibility with existing devices. Thus, a multiview H.264/Advance Video Coding (AVC) and High Efficiency Video Coding (HEVC) hybrid architecture was proposed in the standardization process of HEVC. However, it requires long encoding times due to the use of HEVC. With the aim of tackling this problem, this paper presents an algorithm that reduces the complexity of this hybrid architecture by reducing the encoding complexity of the HEVC views. By using Na < ve-Bayes classifiers, the proposed technique exploits the information gathered in the encoding of the H.264/AVC view to make decisions on the splitting of coding units in HEVC side views. Given the novelty of the proposal, the only similar work found in the literature is an unoptimized version of the algorithm presented here. Experimental results show that the proposed algorithm can achieve a good tradeoff between coding efficiency and complexity

Lineups and eyewitness identification

Abstract Research on eyewitnesses has led to the development of a knowledge base about the factors that influence eyewitness identification accuracy and to changes to criminal justice policies concerning the collection of eyewitness identification evidence. In this review, we provide an overview of the field of eyewitness identifications and suggest future directions for research. First, we provide the context for the study of eyewitness identifications. Second, we review a sample of factors that affect the accuracy of eyewitness identifications, with attention to both the conditions under which crimes occur and the manner in which identification tests are conducted. Third, we review several findings about which there is some contemporary debate or controversy. Finally, we highlight opportunities for further research on eyewitness identifications by drawing upon basic research in social and cognitive psychology and lessons from actual cases

Begrijpen patiënten met en zonder een verstandelijke beperking de vragen van de Forensic inpatient Quality of Life questionnaire - Short version?

From a strength-based approach of forensic psychiatry, attention to quality of life is increased. Therefore, an adequate tool to measure the subjective component of quality of life is crucial. The Forensic inpatient Quality of Life questionnaire – Short Version (FQL- SV) is considered a valid tool. However, experiences in Flemish forensic psychiatry raise questions on the utility of the questionnaire in clinical practice. The concerns raised were the specific Dutch terminology and the possible presence of cognitive fallacies. After consulting the developers of the FQL- SV who share our concerns, a research project was started with the following aim: gaining insight into the understanding of the FQL- SV by Flemish forensic psychiatric patients. The first step within this project is gaining insight into which questions were difficult to understand. Since there was expected that the understanding would be more limited for patients with an intellectual disability, the research differentiated between persons with and without an intellectual disability. Cognitive interviews were carried out with ten patients with and with eight patients without an intellectual disability. These interviews focused on the experienced difficulty and understanding of each question. Additionally, the patients were asked for suggestions to reformulate the questions. Based on the analysis of the cognitive interviews, the questions could be differentiated in correctly, not and differently understood. The interpretation of the questions clearly differed between participants with and without an intellectual disability. Additionally, the typical Dutch terminology also resulted in difficult understanding of questions. These findings emphasize the importance of the next step in our research project: developing a manual of the FQL-SV that pays attention to different levels of understanding and to explaining typical Dutch terminology