Corpus ID: 14626597

TRECVID 2005 - An Overview

@inproceedings{Over2005TRECVID2,
  title={TRECVID 2005 - An Overview},
  author={P. Over and T. Ianeva and Wessel Kraaij and A. Smeaton},
  booktitle={TRECVID},
  year={2005}
}
TRECVID 2005 represented the fifth running of a TREC-style video retrieval evaluation, the goal of which remained to promote progress in content-based retrieval from digital video via open, metrics-based evaluation. Over time this effort is yielding a better understanding of how systems can effectively accomplish such retrieval and how one can reliably benchmark their performance. TRECVID is funded by the Disruptive Technology Office (DTO) and the National Institute of Standards and Technology… Expand
Concept-Based Video Retrieval
TLDR
This paper presents a component-wise decomposition of such an interdisciplinary multimedia system, covering influences from information retrieval, computer vision, machine learning, and human–computer interaction and lays down the anatomy of a concept-based video search engine. Expand
High-level feature detection from video in TRECVid: a 5-year retrospective of achievements
TLDR
This chapter summarizes the work done on the TRECVid high-level feature task, showing the progress made year-on-year, and provides a fairly comprehensive statement on where the state-of-the-art is regarding this important task. Expand
Intelligent Multimedia Group of Tsinghua University at TRECVID 2006
TLDR
The results indicate that the weight and select fusion algorithm works surprisingly well, better than all variations of the RankBoost and the StackSVM fusion algorithm. Expand
The ARGOS campaign: Evaluation of video analysis and indexing tools
TLDR
The type of tasks evaluated, the way the content set has been produced, metrics and tools developed for the evaluations and some of the results obtained at the end of the first phase are described. Expand
The Multimedia Understanding Group at TRECVID 2010
TLDR
This report examines the use of bag-of-words audio features for video concept detection, with noisy and/or low-quality video data, and explores the possibility of using a cross-domain concept fusion approach for reducing the number of dimensions at the nal classier. Expand
Filling the Semantic Gap in Video Retrieval: An Exploration
TLDR
The image/video analysis community has long struggled to bridge this semantic gap between low-level feature analysis (colour histograms, texture, shape) and semantic content description of video, and one approach is to utilise a set of intermediate textual descriptors that can be reliably applied to visual content concepts. Expand
Methods and Challenges in Shot Boundary Detection: A Review
TLDR
This paper presents a review of an extensive set for SBD approaches and their development, and the advantages and disadvantages of each approach are comprehensively explored. Expand
Study of context influence on classifiers trained under different video-document representations
TLDR
This paper considers whether taking advantage of context can aid the video retrieval process by making the prediction of relevance easier, i.e. if it is easier for a classification system to predict the relevance of a video shot under a given context, then that context has potential in also improving retrieval. Expand
TRECVID 2006 Rushes Exploitation by CAS MCG
TLDR
This work proposes a novel and interactive rushes video selection and editing method based on hierarchical browsing of key frames, where high level features of each key frame such as face, interview, person, crowd, building, outdoor, waterbody, and other information about redundancy and repetition are displayed at same time for helping editors to select what they really want. Expand
Impact of novel sources on content-based image and video retrieval
TLDR
It is demonstrated empirically that even within the relatively narrow domain of news videos collected from a variety of news programs and broadcasters, the assumption of distributional similarity of visual features does not hold across programs from different broadcasters, resulting in considerable degradation of ranked retrieval performance on novel sources. Expand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 17 REFERENCES
Rapid estimation of camera motion from compressed video with application to video annotation
TLDR
It is shown that in certain structured settings, it is possible to obtain reliable estimates of camera motion by directly processing data easily obtained from the MPEG format. Expand
Estimation of arbitrary camera motion in MPEG videos
TLDR
An outlier removal algorithm is incorporated into the approach to solve the problem of camera motion estimation in MPEG videos and the minimum number of motion vectors required to obtain satisfactory results is investigated. Expand
Image and Video Retrieval
TLDR
The main research topics in multimedia content analysis are summarized, some assumptions are state and the main future trends including usage of long term memory, context, dynamic processing, evolvable generalized detectors and user aspects are postulated. Expand
Retrieval of Archival Moving Imagery - CBIR Outside the Frame?
TLDR
The conclusion is drawn that the combination of limited CBIR functionality and lack of adherence to cataloguing standards seriously limits the Internet's potential for providing enhanced access to film and video-based cultural resources. Expand
Analyzing the Subject of a Picture: A Theoretical Approach
This paper suggests a theoretical basis for identifying and classifying the kinds of subjects a picture may have, using previously developed principles of cataloging and classification, and conceptsExpand
Biology
THE “Faune de France” series of monographs is now familiar to most zoologists and the separate parts already issued have been noticed at intervals in our columns. The two most recent fascicules thatExpand
Randomization, Bootstrap and Monte Carlo Methods in Biology
Preface to the Second Edition Preface to the First Edition Randomization The Idea of a Randomization Test Examples of Randomization Tests Aspects of Randomization Testing Raised by the ExamplesExpand
Randomization, Bootstrap and Monte Carlo Methods in Biology.
TLDR
This Ebook randomization bootstrap and monte carlo methods in biology PDF is ready on the online library and can be searched online and still many more tittle ebook in here. Expand
Personal communication from Richard Wright
  • Personal communication from Richard Wright
  • 2005
Personal communication from Richard Wright, Technology Manager, Projects, BBC Information & Archives
  • 2005
...
1
2
...