A Literature Study On Video Retrieval Approaches

A detailed survey has been carried out to identify the various research articles available in the literature in all the categories of video retrieval and to do the analysis of the major contributions and their advantages, following are the literature used for the assessment of the state-of-art work on video retrieval. Here, a large number of papershave been studied

Free-hand Sketch Understanding and Analysis

PhDWith the proliferation of touch screens, sketching input has become popular among many software products. This phenomenon has stimulated a new round of boom in free-hand sketch research, covering topics like sketch recognition, sketch-based image retrieval, sketch synthesis and sketch segmentation. Comparing to previous sketch works, the newly proposed works are generally employing more complicated sketches and sketches in much larger quantity, thanks to the advancements in hardware. This thesis thus demonstrates some new works on free-hand sketches, presenting novel thoughts on aforementioned topics. On sketch recognition, Eitz et al. [32] are the first explorers, who proposed the large-scale TU-Berlin sketch dataset [32] that made sketch recognition possible. Following their work, we continue to analyze the dataset and find that the visual cue sparsity and internal structural complexity are the two biggest challenges for sketch recognition. Accordingly, we propose multiple kernel learning [45] to fuse multiple visual cues and star graph representation [12] to encode the structures of the sketches. With the new schemes, we have achieved significant improvement on recognition accuracy (from 56% to 65.81%). Experimental study on sketch attributes is performed to further boost sketch recognition performance and enable novel retrieval-by-attribute applications. For sketch-based image retrieval, we start by carefully examining the existing works. After looking at the big picture of sketch-based image retrieval, we highlight that studying the sketch’s ability to distinguish intra-category object variations should be the most promising direction to proceed on, and we define it as the fine-grained sketch-based image retrieval problem. Deformable part-based model which addresses object part details and object deformations is raised to tackle this new problem, and graph matching is employed to compute the similarity between deformable part-based models by matching the parts of different models. To evaluate this new problem, we combine the TU-Berlin sketch dataset and the PASCAL VOC photo dataset [36] to form a new challenging cross-domain dataset with pairwise sketch-photo similarity ratings, and our proposed method has shown promising results on this new dataset. Regarding sketch synthesis, we focus on the generating of real free-hand style sketches for general categories, as the closest previous work [8] only managed to show efficacy on a single category: human faces. The difficulties that impede sketch synthesis to reach other categories include the cluttered edges and diverse object variations due to deformation. To address those difficulties, we propose a deformable stroke model to form the sketch synthesis into a detection process, which is directly aiming at the cluttered background and the object variations. To alleviate the training of such a model, a perceptual grouping algorithm is further proposed that utilizes stroke length’s relationship to stroke semantics, stroke temporal order and Gestalt principles [58] to perform part-level sketch segmentation. The perceptual grouping provides semantic part-level supervision automatically for the deformable stroke model training, and an iterative learning scheme is introduced to gradually refine the supervision and the model training. With the learned deformable stroke models, sketches with distinct free-hand style can be generated for many categories

The assessment of visual behaviour and depth perception in surgery

Imperial Users onl

Европейский и национальный контексты в научных исследованиях

В настоящем электронном сборнике «Европейский и национальный контексты в научных исследованиях. Технология» представлены работы молодых ученых по геодезии и картографии, химической технологии и машиностроению, информационным технологиям, строительству и радиотехнике. Предназначены для работников образования, науки и производства. Будут полезны студентам, магистрантам и аспирантам университетов.=In this Electronic collected materials “National and European dimension in research. Technology” works in the fields of geodesy, chemical technology, mechanical engineering, information technology, civil engineering, and radio-engineering are presented. It is intended for trainers, researchers and professionals. It can be useful for university graduate and post-graduate students

IT-Gestützte Kollaborative Kreativität

Companies and organizations must constantly evolve in order to stay competitive in the marketplace. An important role is played by innovations that ensure this continuous corporate success. Producing innovations depends strongly on creativity, which is why active support makes sense and is worthwhile. Creativity can be supported by information technology and is most effective in teams and groups. Collaboration and the consideration of different collaboration mechanisms play an equally important role in this context as the active support by information technology. This dissertation deals with the question of how information systems can be designed in order to use information technology to actively support creativity and that collaborative creativity processes are promoted. With the help of a systematic literature review, current creativity support systems were examined and the necessity of research was explained. A design-oriented approach was then used to develop and evaluate various approaches that address the research question. A total of 25 scientific articles were produced, five of which are included in this dissertation. Various conducted studies show the additional value of active support through information technology and provide design guidelines for better support of collaborative creativity.Unternehmen und Organisationen müssen sich ständig weiterentwickeln, um am Markt beständig zu sein und geschäftsfähig zu bleiben. Eine wichtige Rolle sind Innovationen, die diesen kontinuierlichen Unternehmenserfolg sicherstellen. Innovationen zu produzieren hängt stark von Kreativität ab, weshalb eine aktive Unterstützung sinnvoll und lohnenswert ist. Kreativität kann dabei durch Informationstechnik unterstützt werden und entfaltet vor allem in Teams und Gruppen ihre größte Wirkung. Kollaboration und die Betrachtung unterschiedlicher Kollaborationsmechanismen spielt in diesem Kontext gleichermaßen eine wichtige Rolle, wie die aktive Unterstützung durch Informatikstechnik. Die vorliegende Dissertation beschäftigt sich mit der Fragestellung, wie Informationssysteme gestaltet werden können, um einerseits Informationstechnik so einzusetzen, dass sie aktiv Kreativität unterstützt, andererseits so gestaltet werden sollte, dass kollaborative Kreativitätsprozesse gefördert werden. Mit Hilfe einer systematischen Literaturanalyse wurden dabei aktuelle Kreativitätsunterstützungsysteme untersucht und die Notwendigkeit der Forschung dargelegt. Mit einem gestaltungsorientierten Vorgehen wurden daraufhin unterschiedliche Ansätze entwickelt und evaluiert, die die Fragestellung adressieren. Dabei sind insgesamt 25 wissenschaftliche Artikel entstanden, von welchen fünf in diese Dissertation eingebunden sind. Unterschiedliche durchgeführte Studien zeigen daraufhin den Mehrwert von aktiver Unterstützung durch Informationstechnik auf und geben Gestaltungsrichtlinien zur besseren Unterstützung von kollaborativer Kreativität

An object-based approach to retrieval of image and video content

Promising new directions have been opened up for content-based visual retrieval in recent years. Object-based retrieval which allows users to manipulate video objects as part of their searching and browsing interaction, is one of these. It is the purpose of this thesis to constitute itself as a part of a larger stream of research that investigates visual objects as a possible approach to advancing the use of semantics in content-based visual retrieval. The notion of using objects in video retrieval has been seen as desirable for some years, but only very recently has technology started to allow even very basic object-location functions on video. The main hurdles to greater use of objects in video retrieval are the overhead of object segmentation on large amounts of video and the issue of whether objects can actually be used efficiently for multimedia retrieval. Despite this, there are already some examples of work which supports retrieval based on video objects. This thesis investigates an object-based approach to content-based visual retrieval. The main research contributions of this work are a study of shot boundary detection on compressed domain video where a fast detection approach is proposed and evaluated, and a study on the use of objects in interactive image retrieval. An object-based retrieval framework is developed in order to investigate object-based retrieval on a corpus of natural image and video. This framework contains the entire processing chain required to analyse, index and interactively retrieve images and video via object-to-object matching. The experimental results indicate that object-based searching consistently outperforms image-based search using low-level features. This result goes some way towards validating the approach of allowing users to select objects as a basis for searching video archives when the information need dictates it as appropriate

2023-2024 Catalog

The 2023-2024 Governors State University Undergraduate and Graduate Catalog is a comprehensive listing of current information regarding:Degree RequirementsCourse OfferingsUndergraduate and Graduate Rules and Regulation

2022-2023 Catalog

The 2022-2023 Governors State University Undergraduate and Graduate Catalog is a comprehensive listing of current information regarding:Degree RequirementsCourse OfferingsUndergraduate and Graduate Rules and Regulation