Web Albums Research Articles

What attributes do existing web blog need

Blog is an on online diary which is a personal record through webpages which includes the functions of automatic exchange, immediate updating, casual posting, and link exchange. People not only can type posts and upload their pictures to their web albums but also record their daily life with the web space instead of writing in the diary. However, the blog which users want is provided with the functions and attributes or the final value which users want and will pursue while using their blogs. Both of these are research questions which need to be further discussed. Thus, this research adopts means-end chains as the theoretical basis and uses attributes-consequences-values as the interview structure which deeply investigates the needs of blog users. The research results showed that users think according to the sequence, important attributes of Blogs are blog writing, photo album, personalization, special functions, discussion/messages/reply . Hierarchical value map is further drawn to explain above attributes according to the interview result. This research aims on understanding of blog users’ use factor and needs and expect that the research results can assist dealers of blog platforms to continuously develop and improve functions and the quality of platforms to provide blog platforms which meet users’ need more.

Exploration of the Meaning of A Place by Volunteered Geographic Information

Geographers view place as a projection of one’s inner perceptions of space and is socially constructed and personally experienced. It is not merely a spatial location but something with meaning. Traditional GIS has implemented space of physical environment successfully based on computational geometry. However, how GIS can implement place which is formed through human experience from the interaction between their social activities and natural environment is still in developing stage. This research employed VGI (volunteered geographic information) concept and used geo-tagged photos from Flickr web album to delineate the meaning of a place - Gongguan. A native place located in southern part of Taipei city. The Alpha Shape, Kernel Density Estimate and Social Network Analysis were employed for analysis. Results imply that the VGI approach can be an innovative method for study of place.

An Investigation into Three Visual Characteristics of Complex Scenes that Evoke Human Emotion.

Prior computational studies have examined hundreds of visual characteristics related to color, texture, and composition in an attempt to predict human emotional responses. Beyond those myriad features examined in computer science, roundness, angularity, and visual complexity have also been found to evoke emotions in human perceivers, as demonstrated in psychological studies of facial expressions, dance poses, and even simple synthetic visual patterns. Capturing these characteristics algorithmically to incorporate in computational studies, however, has proven difficult. Here we expand the scope of previous computer vision work by examining these three visual characteristics in computer analysis of complex scenes, and compare the results to the hundreds of visual qualities previously examined. A large collection of ecologically valid stimuli (i.e., photos that humans regularly encounter on the web), named the EmoSet and containing more than 40,000 images crawled from web albums, was generated using crowd-sourcing and subjected to human subject emotion ratings. We developed computational methods to the separate indices of roundness, angularity, and complexity, thereby establishing three new computational constructs. Critically, these three new physically interpretable visual constructs achieve comparable classification accuracy to the hundreds of shape, texture, composition, and facial feature characteristics previously examined. In addition, our experimental results show that color features related most strongly with the positivity of perceived emotions, the texture features related more to calmness or excitement, and roundness, angularity, and simplicity related similarly with both of these emotions dimensions.

Spatio-temporal analysis of flowering using LiDAR topography

Spatio-temporal patterns of flowering in forest ecosystems are hard to quantify and monitor. The objectives of this study were to investigate spatio-temporal patterns (e.g. soils, simple slope classes, slope aspect, and flow accumulation) of flowering around Lake Issaqueena, South Carolina (SC, USA) using plant-flowering database collected with GPS-enabled camera (stored in Picasa 3 web albums and project website) on a monthly basis in 2012 and LiDAR-based topography. Pacolet fine sandy loam had the most flowering plants, followed by Madison sandy loam, both dominant soil types around the lake. Most flowering plants were on moderately steep (17%–30%) and gently sloping (4%–8%) slopes. Most flowering plants were on west (247.5°–292.5°), southwest (202.5°–247.5°), and northwest (292.5°–337.5°) aspects. Most flowering plants were associated with minimum and maximum flows within the landscape. Chi-square tests indicated differences in the distributions of the proportions of flowering plants were significant by soil type, slope, aspect, and flow accumulation for each month (February-November), for all months (overall), and across months. The Chi-square test on area-normalized data indicated significant differences for all months and individual differences by each month with some months not statistically significant. Cluster analysis on flowering counts for nine plant families with the most flowering counts indicated no unique separation by cluster, but implied that the majority of these families were flowering on strongly sloping (9%–16%) slopes, on southwest (202.5°–247.5°) aspects, and low flow accumulation (0–200). Presented methodology can serve as a template for future efforts to quantify spatio-temporal patterns of flowering and other phenological events.

Establishment of a monitoring database of historical Oncomelania hupensis environments at grass - root level for schistosomiasis prevention based on Google Earth

To establish a monitoring database of historical Oncomelania hupensis environments at grass-root level for schistosomiasis prevention based on Google Earth (GE), so as to improve the management efficiency of historical O. hupensis environments. GE was labeled with the information about the historical O. hupensis environments through adding landmark, path and polygon. Meanwhile, POCO web album was used to storage the practice situation pictures of the environments, which could be imported into GE so that the environments could be monitored dynamically. There were 553 historical O. hupensis snail environments in Yangjian Town, Xishan District, Wuxi City and the accumulative area was 506 000 m2. Among these environments, 224 (40.5%) were Class IV environments, accounting for 40.5% of accumulative area. The monitoring database of historical O. hupensis environments based on GE at country level is established successfully and it can be used to manage the historical snail environments visually and monitor the changes dynamically.

Prefetching for mobile web album

AbstractA web album service allows a user to publish photo albums on the web and view albums of other users. Through broadband mobile telecom, users can enjoy watching contents of web albums at any place in real time. User experience on mobile web album is affected by the transmission delay of mobile network, which determines whether the user needs to wait to view the images. We propose a prefetching mechanism that enhances user experience on accessing mobile web albums. A transmission control protocol‐like sliding window protocol (of size N) is exercised, and when the buffer for the sliding window at the user equipment is full, prefetching is suspended. The buffer size N affects the prefetching performance. The larger the N value, the better the user experience. However, a large N value means that many images will be prefetched. If they are not actually viewed by the user, the network resources for transmitting these images are wasted. This paper proposes both analytic and simulation models to select the smallest N (the optimal N value) so that the expected user experience can be achieved. Copyright © 2014 John Wiley & Sons, Ltd.

Identification of Season-Dependent Sightseeing Spots Based on Metadata-Derived Features and Image Processing

Sharing traveling experience and photos on Social Network Service or Web albums is more and more popular recently. Good sightseeing photos in specific situation such as sunset and spring season can impress tourists well, and be clues for them to consider where and when to visit for sightseeing. Regarding situations to be identified, this paper focuses on season. Compared with situations relating with weather and time of day (e.g., sunrise/sunset), whether or not different seasons have different scenery depends on sightseeing spots. Therefore, classifying sightseeing spots into season-dependent/independent is required as preprocessing for season-based classification of sightseeing photos. This paper proposes a hybrid approach for identifying season-dependent sightseeing spots, of which the first phase applies machine learning with statistical features of sightseeing photos obtained from metadata. In order to improve precision, the second phase applies color-based classification to spots identified as season-dependent in the first phase. The experimental results show the effectiveness of the proposed method.

Hybrid approach of situation-oriented classification of sightseeing spot images based on visual and tag information

Recent trend on the web is to share their traveling experience via uploading photos to web albums. Shared photos of sightseeing spots are important resources for those who are going to visit there. As sightseeing spot scenes vary with different situations, such as weather and season, automatic classification of photos into different situations is expected to be beneficial for tourists to plan when to visit there. This paper proposes a hybrid approach of combining content-based image classification with filtering based on tag information of image. By using geotag information when retrieving images from web albums, collected images can be limited to a reasonable boundary to eliminate outliers. Content-based image classification groups collected images into night, sunrise/sunset, cloudy, and shine situations. Moreover, by using the timestamp of images, the four situation categories are further verified to increase the accuracy. Experimental results show that the hybrid approach of content-based image classification and tag-based filtering is effective for classifying image into situations with high precision and recall.

The Design and Development of PKM System Based on Blog

In order to manage personal knowledge better, this paper selects out the typical representative software --blog to design and development the system. This paper briefly introduces the advantage of blog which is as the platform of personal knowledge management and development. It narrates the whole design and development process of personal knowledge management platform which is based on Blog. This system is on basic of blog diary delivering and management, ASP for the development tool, Access as the database platform, realize the function of user registration, also the delivering, classification, reviews and web album of blog diary.

An Integrated WebGIS Framework for Volunteered Geographic Information and Social Media in Soil and Water Conservation

Volunteered geographic information and social networking in a WebGIS has the potential to increase public participation in soil and water conservation, promote environmental awareness and change, and provide timely data that may be otherwise unavailable to policymakers in soil and water conservation management. The objectives of this study were: (1) to develop a framework for combining current technologies, computing advances, data sources, and social media; and (2) develop and test an online web mapping interface. The mapping interface integrates Microsoft Silverlight, Bing Maps, ArcGIS Server, Google Picasa Web Albums Data API, RSS, Google Analytics, and Facebook to create a rich user experience. The website allows the public to upload photos and attributes of their own subdivisions or sites they have identified and explore other submissions. The website was made available to the public in early February 2011 at http://www.AbandonedDevelopments.com and evaluated for its potential long-term success in a pilot study.

A Sparse Representation Method with Maximum Probability of Partial Ranking for Face Recognition

Face recognition is a popular topic in computer vision applications. Compressive sensing is a novel sampling technique for finding sparse solutions to underdetermined linear systems. Recently, a sparse representation-based classification (SRC) method based on compressive sensing is presented. It has been successfully applied in face recognition. In this paper, we proposed a maximum probability of partial ranking method based on the framework of SRC, called SRC-MP, for face recognition. Eigenfiaces, fisherfaces, 2DPCA and 2DLDA are used for feature extraction. Experiments are implemented on two public face databases, Entended Yale B and ORL. In order to show our proposed method is robust for face recognition in the real world, experiment is also implemented on a web female album (WFA) face database. We utilize AdaBoost method to automatically detect human face from web album images with complex background, illumination variation and image misalignment to construct WFA database. Furthermore, we compare our proposed method with the classical projection-based methods such as principal component analysis (PCA), linear discriminant analysis (LDA), 2DPCA and 2DLDA. The experimental results demonstrate our proposed method not only is robust for varied viewing angles, expressions, and illumination, but also has higher recognition rates than other methods.

Direct Share: Photo Management System Based on Round-robin Concept-driven User Preference Feedback

As the size of camera modules is decreasing and as the computing performance of portable devices is improving, taking photos has become a part of daily life. However, existing photo management programs and products that manage such photos still require extensive user effort to facilitate the sharing and browsing of images. It is especially difficult for novice users to manage and share photos. In this paper, we develop a round-robin concept-driven user preference feedback mechanism for achieving direct photo sharing, instant display, and easy management using optimized user controls and user preference-driven classification. Compared with commercial photo management systems, our proposed solution provides new features: optimized user controls, direct sharing and instant display, and user preference feedback driven classification. These new features boost the round-robin concept-driven user preference feedback. This paper proposes a photo finder that automatically searches for photos in storage spaces or cameras. The proposed photo finder relies on user preference feedback to share photos by leveraging user preferences, and the round-robin connection transmits photos to the family?s digital photo frame or web album by arbiter. The proposed method saves time and spares users the effort required for photo management. Moreover, this method does not merely direct photo sharing and simple photo management, but it also increases the satisfaction level of users viewing the photos.

Research on the Digital Portfolio Study and Assessment which Utilizes Web Album

Research on the Digital Portfolio Study and Assessment which Utilizes Web Album