Improvement of an Interactive Media System "RAKUGACKY"

We develop an interaction framework for huge public displays with multiple users in public spaces such as concourses, lobbies in buildings, and rendezvous spots. Based on this framework, we introduce an interactive system for public spaces called Mirai-Tube. This system creates a scalable interactive media space and has a scalable real-time recognizer. A Mirai-Tube system was installed in the underground concourse of Minato Mirai Station in Yokohama. We conducted a demonstration experiment from 1st Feb. to 31st Oct. 2004. This trial represents the world’s first experiment in a real public space in terms of its scale and its time period. We evaluate our interactive media system from three points of view: acceptability as a public media, how much attention the public pays to it, and its understandability as an advertising media. This paper describes the features, implementation, and operation of the interactive media system and the results of the evaluation.Keywordsinteractive public displaysambient displaysinteractive advertisingpattern recognitionsubtle interaction

The role of feedback in the assessment of news

Region adjacency and its application to object detection

Infants behaviors to the eight novel objects were recorded by V. T. R. They were analyzed with vision, contents of manipulation (vigorous manipulation with arms and hands(vertical shake, horizontal shake, hit drop), gentle manipulation with fingers (finger, pinch, scratch), oral behaviors (mouth, appropriate manipulation)) and other behaviors. The Ss were 66, 7-, 9-, 12-month old infants.Simple objects, viz.(1) Ring,(2) Bar,(3) Spoon,(4) Cup were manipulated with arms and mouthed more than complex objects, viz.(5) Figure Box,(6) Rainbow Spring,(7) Uneven Basket,(8) Decorative Rattle. Complex objects were visually regarded and manipulated with fingers more than simple objects in all age groups.Among complex objects, visually complex objects,(5),(6) were visually regarded and manipulated with arms more than tactually complex objects (7),(8).The latter were manipulated with fingers and received emotional responses (vocalization, look at the mother, being afraid) more than the former.The 9-and 12-month old infants had longer visual regard per response, larger percentage of looking within one trial, and longer manipulative latencies than 7-month old infants. And the total manipulation time decreased with age.The manipulations with arms decreased and the manipulations with fingers increased with the age. The latter had larger percentage of responses of visual regard than the former.Males had longer visual regard per response, total manipulation and vigorous manipulation with arms than females.Oral behaviors decreased with the age. But regarding objects (3) and (4), mouthing of their special round parts increased with the age, and 12-month old infants began to manipulate them appropriately.Looking at the mother increased with the age, and 12-month old infants began to point or show the stimulus to the mother.

Habituation and dishabituation of the startle reflex to auditory stimulation as a function of intensity in newborn infants

Object recognition and generalisation during habituation in horses

A virtual environment can consist of both simple and complex 3D objects. The number of polygons for complex objects can dominate the total number of polygons in a scene. In this paper, we create depth images for these complex objects to allow interactive rendering a virtual environment. Arbitrary views of these complex objects are synthesized using these pre-rendered depth images as well as original polygons in the scene. To reduce the number images stored, we choose the smallest set from a large set of initial images of these objects. We show the preliminary results from applying the proposed method to accelerate the interactive walkthrough of a virtual environment.KeywordsVirtual EnvironmentReference ImageDepth ImageComplex ObjectSurface SegmentationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Precision requirements do not affect the allocation of visual working memory capacity

<p>Modern computing technology enters the era of parallel computing with the trend of sustainable and scalable parallelism. Single Instruction Multiple Data (SIMD) is an important way to go along with the trend. It is able to gather more and more computing ability by increasing the number of processor cores without the need of modifying the program. Meanwhile, in the field of scientific computing and engineering design, many computation intensive applications are facing the challenge of increasingly large amount of data. Data parallel computing will be an important way to further improve the performance of these applications. In this paper, we take the accurate collision detection in building information modeling as an example. We demonstrate a model for constructing a data parallel algorithm. According to the model, a complex object is decomposed into the sets of simple objects; collision detection among complex objects is converted into those among simple objects. The resulting algorithm is a typical SIMD algorithm, and its advantages in parallelism and scalability is unparalleled in respect to the traditional algorithms.</p>

Animals are increasingly exposed to novel environmental conditions because of human activities. An organism's ability to cope with these challenges is critical to its survival. The decision of whether or not an animal should investigate environmental changes involves a trade‐off between the risk and the potential benefit of a novel resource. Novelty often elicits approach (exploratory) as well as avoidance behaviour in animals, and the extent of each of these behaviours may influence learning about the environment. We formulated and tested several hypotheses to determine how external factors (complexity of a novel stimulus) and internal factors (experience with objects) might influence exploration latencies to touch a novel object based on either cost or benefit considerations. Garden warblers were confronted with a simple and a complex novel object in their familiar cages, and latencies until first touch were measured. Additionally, corticosterone levels before and after the experiment were measured to assess whether differences in baseline levels might explain variations in latency to approach and whether presentation of novel objects is stressful. The complex object was touched significantly later than the simple object. Experienced birds investigated both types of objects later than inexperienced birds. Although birds showed marked approach–avoidance behaviour with the complex object, none of the objects elicited a corticosterone stress response. The results indicate that garden warblers consider both costs and benefits when exploring novel objects, and that the relative influence of costs and benefits varies with external and internal factors.

Artificial Intelligence-based tools have shown promising results to help clinicians in diagnosis tasks. Radio-genomics would aid in the genotype characterization using information from radiologic images. The prediction of the mutations status of main oncogenes associated with lung cancer will help the clinicians to have a more accurate diagnosis and a personalized treatment plan, decreasing the need to use the biopsy. In this work, novel and objective features were extracted from the lung that contained the nodule, and several machine learning methods were combined with feature selection techniques to select the best approach to predict the EGFR mutation status in lung cancer CT images. An AUC of 0.756 ± 0.055 was obtained using a logistic regression and independent component analysis as feature selector, supporting the hypothesis that CT images can capture pathophysiological information with great value for clinical assessment and personalized medicine of lung cancer. Clinical Relevance - Radiogenomic approaches could be an interesting help for lung cancer characterization. This work represents a preliminary study for the development of computer-aided decision systems to provide a more accurate and fast characterization of lung cancer which is fundamental for an adequate treatment plan for lung cancer patients.

This paper introduces combining address space transformation strategy with lock strategy to maintain the consistency of both simple objects and complex objects in replicated CAD environments. This combination adapts AST strategy from group editor field to CAD environment, gurantees the high concurrency of the replicated architure, and provides relatively effective strategy to process complex objects. The combination process of AST and Lock strategy is also decribed in detail in the paper.

Efficient real-time robotic tasks using a monocular vision system were previously developed with simple objects (e.g. white points on a black background), within a visual servoing context. Due to recent developments, it is now possible to design real-time visual tasks exploiting motion information in the image, estimated by robust algorithms. This paper proposes such an approach to track complex objects, such as a pedestrian. It consists in integrating the measured 2D motion of the object to recover its 2D-position in the image. The principle of the tracking task is to control the camera pan and tilt such that the estimated center of the object appears at the center of the image. Real-time experimental results demonstrate the efficiency and the robustness of the method.

Two experiments were conducted to test a prediction of the Kosslyn & Shwartz computer simulation model of mental image processing. According to this model, more complex images require more time to form because parts are placed sequentially, and larger images require more time to form than smaller ones because more parts are placed. If these accounts are correct, then the advantage of forming a small image (i.e., one that seems to subtend a smaller visual angle) should be greater for more complex objects because the difference in number of parts imaged at the two sizes will be greater than with simpler objects. This prediction was confirmed only when subjects were not motivated to form highly elaborated images at small sizes. When subject tried to include all details, it actually took longest to form images of complex objects at small sizes. Both of these results support the central assumption of the Kosslyn‐Shwartz model, namely the existence of a fixed resolution analog spatial medium.

This paper proposes an efficient indexing structure for CBMR (Content-Based Multimedia Retrieval), called HBI (Hierarchical Bitmap Index), in which each object is represented as a bitmap of size 2 · d · l bits, where d is the number of dimensions of object's feature vector and l is the number of bitmaps. In this bitmap representation, the feature (or attribute) value of object at each dimension is represented with a set of two bits each of which indicates whether it is relatively high ('11'), low ('00'), or neither ('01') compared to the feature values of other objects at a hierarchical organized interval. Using these compact representations of feature vectors, a lot of irrelevant objects could be quickly filtered-out by a couple of simple XOR operations, and it helps to reduce the filtering process of similarity search in high-dimensional data space. It also presents an optimization algorithm, called FQD (Filtering by Query Difference), for the similarity search with relevance feedback that reuses the previously calculated distances between the original query and all objects in the database when filtering the irrelevant objects in the successive search with modified query. It helps to further reduce the search time of CBMR with relevance feedback. Experimental results show that the similarity search using HBI is about 2 ~ 3 times faster than VA-File while guaranteeing the exact solutions, and FQD for relevance feedback helps to further reduce the elapsed time of successive similarity search compared to the one for the first search.