6,139 research outputs found
Video Data Visualization System: Semantic Classification And Personalization
We present in this paper an intelligent video data visualization tool, based
on semantic classification, for retrieving and exploring a large scale corpus
of videos. Our work is based on semantic classification resulting from semantic
analysis of video. The obtained classes will be projected in the visualization
space. The graph is represented by nodes and edges, the nodes are the keyframes
of video documents and the edges are the relation between documents and the
classes of documents. Finally, we construct the user's profile, based on the
interaction with the system, to render the system more adequate to its
references.Comment: graphic
Video browsing interfaces and applications: a review
We present a comprehensive review of the state of the art in video browsing and retrieval systems, with special emphasis on interfaces and applications. There has been a significant increase in activity (e.g., storage, retrieval, and sharing) employing video data in the past decade, both for personal and professional use. The ever-growing amount of video content available for human consumption and the inherent characteristics of video data—which, if presented in its raw format, is rather unwieldy and costly—have become driving forces for the development of more effective solutions to present video contents and allow rich user interaction. As a result, there are many contemporary research efforts toward developing better video browsing solutions, which we summarize. We review more than 40 different video browsing and retrieval interfaces and classify them into three groups: applications that use video-player-like interaction, video retrieval applications, and browsing solutions based on video surrogates. For each category, we present a summary of existing work, highlight the technical aspects of each solution, and compare them against each other
Strategies for image visualisation and browsing
PhDThe exploration of large information spaces has remained a challenging task even
though the proliferation of database management systems and the state-of-the art
retrieval algorithms is becoming pervasive. Signi cant research attention in the
multimedia domain is focused on nding automatic algorithms for organising digital
image collections into meaningful structures and providing high-semantic image
indices. On the other hand, utilisation of graphical and interactive methods from
information visualisation domain, provide promising direction for creating e cient
user-oriented systems for image management. Methods such as exploratory browsing
and query, as well as intuitive visual overviews of image collection, can assist
the users in nding patterns and developing the understanding of structures and
content in complex image data-sets.
The focus of the thesis is combining the features of automatic data processing
algorithms with information visualisation. The rst part of this thesis focuses on
the layout method for displaying the collection of images indexed by low-level visual
descriptors. The proposed solution generates graphical overview of the data-set as
a combination of similarity based visualisation and random layout approach.
Second part of the thesis deals with problem of visualisation and exploration for
hierarchical organisation of images. Due to the absence of the semantic information,
images are considered the only source of high-level information. The content preview
and display of hierarchical structure are combined in order to support image
retrieval. In addition to this, novel exploration and navigation methods are proposed
to enable the user to nd the way through database structure and retrieve
the content.
On the other hand, semantic information is available in cases where automatic
or semi-automatic image classi ers are employed. The automatic annotation of
image items provides what is referred to as higher-level information. This type
of information is a cornerstone of multi-concept visualisation framework which is
developed as a third part of this thesis. This solution enables dynamic generation
of user-queries by combining semantic concepts, supported by content overview and
information ltering.
Comparative analysis and user tests, performed for the evaluation of the proposed
solutions, focus on the ways information visualisation a ects the image content
exploration and retrieval; how e cient and comfortable are the users when
using di erent interaction methods and the ways users seek for information through
di erent types of database organisation
Designing a Semantically Rich Visual Iinterface for Cultural Digital Libraries Using the UNESCO Multilingual Thesaurus
This paper reports on the design of a visual user interface for the UNESCO digital portal. The interface makes use of the UNESCO multilingual thesaurus to provide visualized views of terms and their relationships and the way in which spaces associated with the thesaurus, the query and the results can be integrated into a single user interface.\u
CHORUS Deliverable 2.2: Second report - identification of multi-disciplinary key issues for gap analysis toward EU multimedia search engines roadmap
After addressing the state-of-the-art during the first year of Chorus and establishing the existing landscape in
multimedia search engines, we have identified and analyzed gaps within European research effort during our second year.
In this period we focused on three directions, notably technological issues, user-centred issues and use-cases and socio-
economic and legal aspects. These were assessed by two central studies: firstly, a concerted vision of functional breakdown
of generic multimedia search engine, and secondly, a representative use-cases descriptions with the related discussion on
requirement for technological challenges. Both studies have been carried out in cooperation and consultation with the
community at large through EC concertation meetings (multimedia search engines cluster), several meetings with our
Think-Tank, presentations in international conferences, and surveys addressed to EU projects coordinators as well as
National initiatives coordinators. Based on the obtained feedback we identified two types of gaps, namely core
technological gaps that involve research challenges, and “enablers”, which are not necessarily technical research
challenges, but have impact on innovation progress. New socio-economic trends are presented as well as emerging legal
challenges
GraphMaps: Browsing Large Graphs as Interactive Maps
Algorithms for laying out large graphs have seen significant progress in the
past decade. However, browsing large graphs remains a challenge. Rendering
thousands of graphical elements at once often results in a cluttered image, and
navigating these elements naively can cause disorientation. To address this
challenge we propose a method called GraphMaps, mimicking the browsing
experience of online geographic maps.
GraphMaps creates a sequence of layers, where each layer refines the previous
one. During graph browsing, GraphMaps chooses the layer corresponding to the
zoom level, and renders only those entities of the layer that intersect the
current viewport. The result is that, regardless of the graph size, the number
of entities rendered at each view does not exceed a predefined threshold, yet
all graph elements can be explored by the standard zoom and pan operations.
GraphMaps preprocesses a graph in such a way that during browsing, the
geometry of the entities is stable, and the viewer is responsive. Our case
studies indicate that GraphMaps is useful in gaining an overview of a large
graph, and also in exploring a graph on a finer level of detail.Comment: submitted to GD 201
Designing a semantically rich visual interface for cultural digital libraries using the UNEsCO multilingual thesaurus
This paper reports on the design of a visual user interface for the UNESCO digital portal. The interface makes use of the UNESCO multilingual thesaurus to provide visualized views of terms and their relationships and the way in which spaces associated with the thesaurus, the query and the results can be integrated into a single user interface
Data Portraits and Intermediary Topics: Encouraging Exploration of Politically Diverse Profiles
In micro-blogging platforms, people connect and interact with others.
However, due to cognitive biases, they tend to interact with like-minded people
and read agreeable information only. Many efforts to make people connect with
those who think differently have not worked well. In this paper, we
hypothesize, first, that previous approaches have not worked because they have
been direct -- they have tried to explicitly connect people with those having
opposing views on sensitive issues. Second, that neither recommendation or
presentation of information by themselves are enough to encourage behavioral
change. We propose a platform that mixes a recommender algorithm and a
visualization-based user interface to explore recommendations. It recommends
politically diverse profiles in terms of distance of latent topics, and
displays those recommendations in a visual representation of each user's
personal content. We performed an "in the wild" evaluation of this platform,
and found that people explored more recommendations when using a biased
algorithm instead of ours. In line with our hypothesis, we also found that the
mixture of our recommender algorithm and our user interface, allowed
politically interested users to exhibit an unbiased exploration of the
recommended profiles. Finally, our results contribute insights in two aspects:
first, which individual differences are important when designing platforms
aimed at behavioral change; and second, which algorithms and user interfaces
should be mixed to help users avoid cognitive mechanisms that lead to biased
behavior.Comment: 12 pages, 7 figures. To be presented at ACM Intelligent User
Interfaces 201
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