Sentiment-based sub-event segmentation and key photo selection

The number of people collecting photos has surged owing to social media and cloud services in recent years. A typical approach to summarize a photo collection is dividing it into events and selecting key photos from each event. Despite the fact that a certain event comprises several sub-events, few studies have proposed sub-event segmentation. We propose the sentiment analysis-based photo summarization (SAPS) method, which automatically summarizes personal photo collections by utilizing metadata and visual sentiment features. For this purpose, we first cluster events using metadata of photos and then calculate the novelty scores to determine the sub-event boundaries. Next, we summarize the photo collections using a ranking algorithm that measures sentiment, emotion, and aesthetics. We evaluate the proposed method by applying it to the photo collections of six participants consisting of 5,480 photos in total. We observe that our sub-event segmentation based on sentiment features outperforms the existing baseline methods. Furthermore, the proposed method is also more effective in finding sub-event boundaries and key photos, because it focuses on detailed sentiment features instead of general content features.     

TapTell: Interactive visual search for mobile task recommendation

Mobile devices are becoming ubiquitous. People use them as personal concierge to search information and make decisions. Therefore, understanding user intent and subsequently provide meaningful and personalized suggestions is important. While existing efforts have predominantly focused on understanding the intent expressed by a textual or a voice query, this paper presents a new and alternative perspective which understands user intent visually, i.e., via visual signal captured by the built-in camera. We call this kind of intent “visual intent” as it can be naturally expressed through a visual form. To accomplish the discovery of visual intent on the phone, we develop TapTell, an exemplary real application on Windows Phone seven, by taking advantages of user interaction and rich context to enable interactive visual searches and contextual recommendations. Through the TapTell system, a mobile user can take a photo and indicate an object-of-interest within the photo via different drawing patterns. Then, the system performs a search-based recognition using a proposed large-scale context-embedded vocabulary tree. Finally, contextually relevant entities (i.e., local businesses) are recommended to the user for completing mobile tasks (those tasks which are natural to be raised and subsequently executed when the user utilizes mobile devices). We evaluated TapTell in a variety of scenarios with millions of images, and compared our results to state-of-the-art algorithms for image retrieval.     

Consumer photo management and browsing facilitated by near-duplicate detection with feature filtering

Near-duplicate detection techniques are exploited to facilitate representative photo selection and region-of-interest (ROI) determination, which are important functionalities for efficient photo management and browsing. To make near-duplicate detection module resist to noisy features, three filtering approaches, i.e., point-based, region-based, and probabilistic latent semantic (pLSA), are developed to categorize feature points. For the photos taken in travels, we construct a support vector machine classifier to model matching patterns between photos and determine whether photos are near-duplicate pairs. Relationships between photos are then described as a graph, and the most central photo that best represents a photo cluster is selected according to centrality values. Because matched feature points are often located in the interior or at the contour of important objects, the region that compactly covers the matched feature points is determined as the ROI. We compare the proposed approaches with conventional ones and demonstrate their effectiveness.     

Light-Weight Selective Image Encryption for Privacy Preservation

To protect personal privacy and confidential preservation, access control is used to authorize legal users for safe browsing the authorized contents on photos. The access control generates an authorization rule according to each permission assignment. However, the general access control is inappropriate to apply in some social services (e.g., photos posted on Flickr and Instagram, personal image management in mobile phone) because of the increasing popularity of digital images being stored and managed. With low maintenance loads, this paper integrates the data hiding technique to propose an access control mechanism for privacy preservation. The proposed scheme changes the partial regions of a given image as random pads (called selective image encryption) and only allows the authorized people to remedy the random pads back to meaningful ones which are with similar visual qualities of original ones.     

Privacy-preserving photo sharing framework cross different social network

With rapid developments of digital photography and social networks,users of photo-sharing-supported social networking applications can easily forward photos across different social networks at the cost of their growing privacy concerns.To address this problem,a privacy-preserving photo sharing framework was proposed,which could apply to extended control and privacy invasion tracing.In extended control scheme,the following users on a dissemination chain was restrained by each user’s privacy policy.Then several privacy areas of photos were encrypted and the access control polices were bound to the uploaded photos,so that any privacy areas on the photos could be hidden away from unwanted viewers even across different social networks.On this basis,the behaviors of users were record by tracing scheme of privacy invasion,the integrality of records was protected by using nested signature algorithm.The correctness,security and performance of overhead of the scheme are then thoroughly analyzed and evaluated via detailed simulations.     

Android手机照片中地址信息添加技术

采用目前市场上最流行的Android手机开放平台,利用智能手机的全球定位系统GPS技术,实现拍摄照片的定位和地址信息的自动添加功能,同时,为了方便用户分类存储照片,自定义设置了照片的个性化地址签名,生成用户近期到达过的地理位置信息,并可以上传照片与大家分享。文中应用软件的实现将满足当今社会年轻人对照片及旅行足迹分享的需求,节约大量整理和分析照片的时间。     

Tiling Slideshow: An Audiovisual Presentation Method for Consumer Photos

The Tiling Slideshow system automatically organizes consumer photos and provides a novel audiovisual presentation. Displaying at the same pace as user-selected music, photos are elaborately manipulated and displayed to mold a novel browsing experience. In contrast to conventional photo slideshows, the proposed presentation provides tighter audiovisual coordination, and offers a more lively viewing experience.     

A Personal Videocasting System with Intelligent TV Browsing for a Practical Video Application Environment

In this paper, a video broadcasting system between a home‐server‐type device and a mobile device is proposed. The home‐server‐type device can automatically extract semantic information from video contents, such as news, a soccer match, and a baseball game. The indexing results are utilized to convert the original video contents to a digested or arranged format. From the mobile device, a user can make recording requests to the home‐server‐type devices and can then watch and navigate recorded video contents in a digested form. The novelty of this study is the actual implementation of the proposed system by combining the actual IT environment that is available with indexing algorithms. The implementation of the system is demonstrated along with experimental results of the automatic video indexing algorithms. The overall performance of the developed system is compared with existing state‐of‐the‐art personal video recording products.     

手绘人脸识别的研究

人脸自动识别技术的应用领域十分广泛,其中从警察局的犯罪嫌疑人数据库中进行人脸图像的自动识别就是人脸识别的实际应用之一。但是,在许多情况下,犯罪嫌疑人的照片或图像是不容易得到的,最好的代替方法就是一张通过目击者的回忆而得到的手绘草图。介绍一种在人脸草图和照片之间进行自动识别的方法。通过将一张照片图像转化成手绘草图,减小了在照片和草图之间的差别,这样就为照片和图像进行匹配提供了有效的条件。在包含188个人脸图像数据中进行试验充分地证明了该算法的有效性。     

基于数字电视机顶盒的嵌入式Linux操作系统的设计

根据数字电视机顶盒实现视频点播、网络浏览、软件升级、电子邮件、游戏下载等高级功能的需要,设计了一种应用于DVB-C机顶盒中的实时操作系统,系统测试结果表明,它具有启动速度快、通用性强、用户界面友好等特点.     

基于Android平台声控应用的研究与开发

基于Android移动平台开发，利用Coogle语音识别云技术，实现了声控手机应用的功能。旨在改变传统的人机交互方式，使人们能够采用更为直接便利的方式与手机对话，改善用户的使用感受。通过真机测试，完全实现了用语音控制打电话、发短信、浏览网页、听音乐、打开手机常用软件和语音备忘等功能，性能稳定可靠，实用性强。     

基于语义的相片检索研究与系统实现

随着数码相机的普及应用,日益增多的相片对高效的相片管理和检索技术提出了迫切的需求。传统的基于关键字检索和基于内容检索技术都不能很好满足人们的需求,因而基于语义的检索技术受到越来越多的关注。文中分析了基于本体的语义检索方法,研究并实现了语义检索算法,并用于基于语义的相片检索子系统中,在此基础上,还提供了三个有趣且有效的检索和管理工具。运行实验表明,该系统满足了用户对语义的检索需求。     

基于频繁链表-存取树的Web用户浏览模式挖掘算法

为了观察网络用户浏览行为以研究用户偏爱的浏览模式集和个人兴趣,本文采用频繁链表结合存取树的增量式结构,使用捕获的网络用户浏览轨迹构建、更新该结构并使用同类合并的思想挖掘该结构以获得用户偏爱浏览模式集。实验通过对比本算法与GSP算法在同一测试集上的更新和挖掘情况,证明本算法在准确度和效率上都大幅领先。同时,该算法也为后续的长期观察研究提供了理论基础。     

一种改进的基于浏览行为的用户兴趣模型

主要讨论并建立了一种改进的基于用户浏览行为的用户兴趣模型,模型中综合考虑了Web用户对页面的浏览行为、对页面关键词的感兴趣程度、用户的短期兴趣和长期兴趣。在.NET平台下实现了WIPISES演示系统,在系统中嵌入本文所提出的改进的用户兴趣模型。仿真实验结果表明:使用本文改进的用户兴趣模型进行信息检索,其搜索效果优于目前主流的搜索引擎,而且Web用户的偏好性越强,WIPISES系统的优势也就越显著。     

Protocol architecture for universal personal computing

This paper presents a new paradigm for network computing over the Internet called universal personal computing, where mobile users can access computing resources, network services, and personalized computing environments anywhere using any available terminals. The user and system requirements are defined, and an agent-based protocol architecture required to manage different mobile objects, i.e., users and terminals, in this computing environment is presented. Modifications of connection setup procedures between user application programs to enable addressing based on a global user identity are considered. The use of personal agents to facilitate interworking and management functions is proposed     

Travelmedia: An intelligent management system for media captured in travel

A media management system exploiting characteristics of travel media is designed to facilitate efficient management and browsing. According to travel schedules, travel media often have implicit thematic structure. Correlation between different modalities also provides implicit cues to media analysis. In this system, we exploit techniques of near-duplicate detection to select representative photos, and determine region-of-interest in photos to enhance browsing experience. For face–name association, a face clustering module based on visual language models is constructed. To systematically segment travel videos of bad visual quality and significant motion, we explore correlation between photos and videos based on approximate visual word histogram matching. Experimental results demonstrate the effectiveness of the proposed approaches and show that they are practical functions.     

基于语义的相片标注研究及应用

随着数码相机的普及应用,日益增多的相片对高效的相片管理和检索技术提出了迫切的需求。传统的基于关键字检索和基于内容检索技术都不能很好满足人们的需求,因而基于语义的标注和检索技术受到越来越多的关注。在构建的相片领域本体基础上设计了相片语义标注模板,并结合自动和半自动的语义标注技术实现了一个相片标注系统。最后通过系统的运行和分析来验证该方案的有效性。     

Anonymous and expeditious mobile user authentication scheme for GLOMONET environments

The Global Mobility Network (GLOMONET) is rapidly becoming important as well as a popular feature in today's high‐performance network. The legal mobile users enjoy life using the ubiquitous services via GLOMONET. However, because of the broadcast nature of the wireless channel, providing user authentication along with the privacy and anonymity of the users in GLOMONET is indeed a challenging task. In this article, we come up with a secure and expeditious mobile communication environment using symmetric key cryptosystem to ensure mobile users' anonymity and privacy against eavesdroppers and backward/forward secrecy of the session key. Our scheme can also protect numerous security threats, like man‐in‐the‐middle attack, known session key attack, lost smartcard attack, and forgery attack. Furthermore, we put forward a new technique named as “friendly foreign agent policy,” where many foreign agents can make different groups among themselves and perform important responsibilities to authenticate a legitimate mobile user without interfering his or her home agent even though the mobile user moves to a new location, covered by a new foreign agent (belongs to the same group). Security and performance analyses show that the proposed scheme is secure and more efficient as compared with other competitive schemes for GLOMONET environments.     

Nanometric Micelles with Photo‐Triggered Cytotoxicity

The development of a photo‐responsive micellar system capable of triggering cell death is reported. Precursors of the micelles are synthesized by connecting a lipophilic chain to a hydrophilic polyethylene glycol via a photo‐labile nitrobenzyl group. The resulting amphiphilic units are self‐assembled in water forming 12 nm micelles that are readily internalized into cells. Upon photo‐irradiation, micelles undergo cleavage and yield a cytotoxic nitrosobenzaldehyde derivative, which significantly inhibits the proliferation of MDA‐MB‐231 cells under standard in vitro conditions.     

基于Android平台的网上商城的实现

随着移动通信与Internet的飞速发展及相互融合,GPRS使无线网络高速接入到Internet 成为现实,移动用户从而可以享受到Internet提供的服务.这样,移动终端不再仅是通讯网络的终端,还将成为互联网的终端.首先给出了系统研究背景,对当前手机操作系统发展做了简单的介绍.进而详细地分析了android的特征、架构、以及android应用的构成和工作机制,并对android和其他手机操作系统进行了比较,说明了android在手机操作系统中的优势.本系统主要用于对手机上网用户在线浏览该网站,用户管理员可以对商品信息进行增删改查等功能,用户可以在该网站注册,注册后的用户还可以商品进行购买以及评价.使用该系统很大的提高了用户购买能力.