Serwis Infona wykorzystuje pliki cookies (ciasteczka). Są to wartości tekstowe, zapamiętywane przez przeglądarkę na urządzeniu użytkownika. Nasz serwis ma dostęp do tych wartości oraz wykorzystuje je do zapamiętania danych dotyczących użytkownika, takich jak np. ustawienia (typu widok ekranu, wybór języka interfejsu), zapamiętanie zalogowania. Korzystanie z serwisu Infona oznacza zgodę na zapis informacji i ich wykorzystanie dla celów korzytania z serwisu. Więcej informacji można znaleźć w Polityce prywatności oraz Regulaminie serwisu. Zamknięcie tego okienka potwierdza zapoznanie się z informacją o plikach cookies, akceptację polityki prywatności i regulaminu oraz sposobu wykorzystywania plików cookies w serwisie. Możesz zmienić ustawienia obsługi cookies w swojej przeglądarce.
Cognitive information processing at higher conceptual levels requires a computational approach to knowledge representation and analysis. Semantic network analysis bridges the gap between probabilistic pattern recognition techniques and symbolic representations by replacing cumbersome and computationally complex forms of logic-based semantic inference common in symbolic approaches with mathematical...
Semantic information can help both humans and robots to understand their environments better. In order to obtain semantic information efficiently and link it to a metric map, we present a semantic mapping approach through human activity recognition in an indoor human-robot coexisting environment. An intelligent mobile robot platform can create a 2D metric map, while human activity can be recognized...
The rapid expansion of wireless technology in consumer markets is revealing inefficiencies regarding radio spectrum allocation. To improve spectrum utilization and increase potential revenues, the creation of a secondary market is essential. Opportunistic trading in a secondary market raises the possibility of interference (i.e. a situation in which a given spectrum band is over utilized thus reducing...
We describe a study that aims towards enhancing our understanding of the perception of H.264/AVC compressed stereoscopic 3D videos, in particular spatial video quality, depth quality, visual comfort and overall 3D video quality. The results of this study indicate that the human subjects have diverse opinions on depth quality scores but a high agreement on spatial video quality. Their agreement on...
Multimedia services have become a dominant part of the network and content provider's service portfolio. A formal modeling methodology for video quality assessment not only affords the providers a clear cause-effect management view of their services, but also helps to guide management and planning operations. We examine the relation between network performance and perceived video quality through VIDAR,...
The concepts of immersion and presence focus on the environment in a virtual environment. We instead focus on embodied conversational agents (ECAs). ECAs occupy the virtual environment as interactive partners. We propose that the ECA analogues of immersion and presence are physicality and social presence. We performed a study to determine the effect of an ECA's physicality on social presence and eliciting...
Based on “ground truth” eye-tracking data, earlier research [1] shows that adding natural scene saliency (NSS) can improve an objective metric's performance in predicting perceived image quality. To include NSS in a real-world implementation of an objective metric, a computational model instead of eye-tracking data is needed. Existing models of visual saliency are generally designed for a specific...
We introduce a novel metric for speech recognition success in voice search tasks, designed to reflect the impact of speech recognition errors on user's overall experience with the system. The computation of the metric is seeded using intuitive labels from human subjects and subsequently automated by replacing human annotations with a machine learning algorithm. The results show that search-based recognition...
In this paper, a new age estimation framework considering the intrinsic properties of human ages is proposed, which improves the dimensionality reduction techniques to learn the connections between facial features and aging labels. To enhance the performance of dimensionality reduction, a distance metric adjustment step is introduced in advance to achieve a suitable metric in the feature space. In...
Video streaming presents the professional communicator with a whole new way to deliver information, messages, and entertainment. As third generation wireless networks are deployed, they offer the possibility to view video from mobile terminals. Video transmission is very sensitive to bit errors especially in wireless transmission (packet loss, end to end delay, etc.), the encoder used for transmission...
This paper develops a general and formal frame-work for the ranking of web documents by considering the multimedia information contained in these documents. Multimedia information is mostly related to images and videos. Ranking can be treated as a combination of static and dynamic ranking. In this paper, we have described a static ranking method based on the analysis of the images present in the web...
A new block-based multi-metric fusion (BMMF) approach is proposed for perceptual image quality assessment. The proposed BMMF scheme automatically detects image content and distortion types in a block via machine learning, which is motivated by the observation that the performance of an image quality metric is highly influenced by these factors. Locally, image block content is classified into three...
Motivated by the growing amount of digitally-accessible information in our physical surroundings and the ephemeral nature of that information, there is a profound need to efficiently search information with spatiotemporal underpinnings without a priori indexing. Human users in Personalized Network Spaces (PNetS), pervasive computing environments connected by opportunistic peer-to-peer connections,...
In this work, we decompose an input video clip into multiple smaller intervals, measure the quality of each interval separately, and apply a fusion approach to integrating these scores into a final one. To give more details, an input video clip is first decomposed into smaller units along the temporal domain, called the temporal decomposition units (TDUs). Next, for each TDU that consists of a small...
The block-based multi-metric fusion (BMMF) is one of the state-of-the-art perceptual image quality assessment (IQA) schemes. With this scheme, image quality is analyzed in a block-by-block fashion according to the block content type (i.e. smooth, edge and texture blocks) and the distortion type. Then, a suitable IQA metric is adopted to evaluate the quality of each block. Various fusion strategies...
This paper proposes a novel regression method based on distance metric learning for human age estimation. We take age estimation as a problem of distance-based ordinal regression, in which the facial aging trend can be discovered by a learned distance metric. Through the learned distance metric, we hope that both the ordinal information of different age groups and the local geometry structure of the...
Discriminative approaches to human pose estimation have became popular in recent years. These approaches face a big challenge: Similar inputs might correspond to very dissimilar poses. This property misleads the mapping functions which rely on the Euclidean distances in the input space. In this paper, we use the distances between the labels of the training data to learn a metric and map the input...
This paper investigates the problem of gait-based gender classification in unconstrained environments. Different from existing human gait analysis and recognition methods which assume that humans walk in controlled environments, we aim to recognize human gender from uncontrolled gaits in which people can walk freely and the walking direction of human gaits may be time-varying in a singe video clip...
Level of detail (LoD) techniques provide efficient and established tools to represent 3D models, while these are well documented and applied with proven results there is not much research and proven results that offer a solution that is both compatible with MPEG-4 (Motion Picture Experts Group) facial animation standard, and which considers a human face mesh simplification. In this paper we present...
This proxemics study examines whether the physical distance between robots and humans differ based on the following factors: 1) age: children vs. adults, 2) who initiates the approach: humans approaching the robot vs. robot approaching humans, 3) prompting: verbal invitation vs. non-verbal gesture (e.g., beckoning), and 4) informing: announcement vs. permission vs. nothing. Results showed that both...
Podaj zakres dat dla filtrowania wyświetlonych wyników. Możesz podać datę początkową, końcową lub obie daty. Daty możesz wpisać ręcznie lub wybrać za pomocą kalendarza.