1,721,457 research outputs found
A semantic event detection approach for soccer video based on perception concepts and finite state machines
Full text linkA significant application area for automated video analysis technology is the generation of personalized highlights of sports events. Sports games are always composed of a range of significant events. Automatically detecting these events in a sports video can enable users to interactively select their own highlights. In this paper we propose a semantic event detection approach based on Perception Concepts and Finite State Machines to automatically detect significant events within soccer video. Firstly we define a Perception Concept set for soccer videos based on identifiable feature elements within a soccer video. Secondly we design PC-FSM models to describe semantic events in soccer videos. A particular strength of this approach is that users are able to design their own semantic events and transfer event detection into graph matching. Experimental results based on recorded soccer broadcasts are used to illustrate the potential of this approach
Seungyup Paek, Ana B. Benitez, and Shih-Fu Chang
No full textIn this paper, we present the self-describing schemes for interoperable image/video content descriptions, which are being developed as part of our proposal to the MPEG-7 standard. MPEG-7 aims to standardize content descriptions for multimedia data. The objective of this standard is to facilitate content-focused applications like multimedia searching, filtering, browsing, and summarization. To ensure maximum interoperability and flexibility, our descriptions are defined using the eXtensible Markup Language (XML), developed by the World Wide Web Consortium. We demonstrate the feasibility and efficiency of our self-describing schemes in our MPEG-7 testbed. First, we show how our scheme can accommodate image and video descriptions that are generated by a wide variety of systems. Then, we present two systems being developed that are enabled and enhanced by the proposed approach for multimedia content descriptions. The first system is an intelligent search engine with an associated expressiv..
Dialogue scene detection in movies using low and mid-level visual features
Full text linkThis paper describes an approach for detecting dialogue scenes in movies. The approach uses automatically extracted low- and mid-level visual features that characterise the visual content of individual shots, and which are then combined using a state transition machine that models the shot-level temporal characteristics of the scene under investigation. The choice of visual features used is motivated by a consideration of formal film syntax. The system is designed so that the analysis may be applied in order to detect different types of scenes, although in this paper we focus on dialogue sequences as these are the most prevalent scenes in the movies considered to date
Approximate Image Color Correlograms
No full textThe recent explosion in Internet usage and the growing amount
of digital images caused by the more and more ubiquitous
presence of digital cameras has created a demand
for effective and flexible techniques for automatic image retrieval.
As the volume of the data increases, memory and
processing requirements need to correspondingly increase at
the same rapid pace, and this is often prohibitively expensive.
Image collections on this scale make performing even
the most common and simple image processing and machine
learning tasks non trivial. In this paper we present a method
to reduce the computational complexity of a widely known
method for image indexing and retrieval based on a second
order statistical measure. The aim of the paper is twofold:
Q1) is it possible to efficiently extract an approximate distribution
of the image features with a resulting low error?
Q2) how the resulting approximate distribution affects the similarity-based accuracy? In particular, we propose a sampling method to approximate the distribution of correlograms, adopting a Monte Carlo approach to compute the
distribution on a subset of pixels uniformly sampled from
the original image. A further variant is to sample the neighborhood of each pixel too. Validation on the Caltech 101
dataset proved that the proposed approximate distribution, obtained with a considerable decrease of the computational time, has an error very low when compared to the exact distribution.
Result obtained in the second experiment on a similarity-based ranking task are encouraging
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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