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A Comparison of Score, Rank and Probability-Based Fusion Methods for Video Shot Retrieval
[chapter]
2005
Lecture Notes in Computer Science
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Using three TRECVid collections and the TRECVid search task, we specically compare fusion methods based on normalised score and rank that use either the average, weighted average or maximum of retrieval ...
In this paper we investigate a range of fusion methods for combining based on multiple visual features (colour, edge and texture), for combining based on multiple visual examples in the query and for combining ...
For all score and rank based fusion methods we truncate the input result lists to their top N results. ...
doi:10.1007/11526346_10
fatcat:u6cm5yb2mrh7paimr2xml4toya
Hierarchical feedback algorithm based on visual community discovery for interactive video retrieval
2010
Proceedings of the ACM International Conference on Image and Video Retrieval - CIVR '10
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of video shots. ...
Since it re-ranks video shots respectively through diffusion process in inter-community and intra-community level, HieCommunityRank can guarantee both the global diverse distribution and the local consistency ...
community-based ranking score and the initial ranking score. ...
doi:10.1145/1816041.1816095
dblp:conf/civr/PangCZL10
fatcat:wes6vhinpvf4vclpzwwtb2kjai
Video search re-ranking via multi-graph propagation
2007
Proceedings of the 15th international conference on Multimedia - MULTIMEDIA '07
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In this PageRank-like scheme, we construct a set of graphs with the video shots as vertexes, and the conceptual and visual similarity between video shots as "hyperlinks." ...
Then, we propose a PageRank-like graph-based approach to text-based search result re-ranking. ...
Visual Content-Based Semantic Concept Detection Content-based semantic concept detection is a widely used method for video annotation and retrieval. ...
doi:10.1145/1291233.1291279
dblp:conf/mm/LiuLHHL07
fatcat:sp47lkrnmzegzpcfxootw7whxm
Semantic concept based video retrieval using convolutional neural network
2019
SN Applied Sciences
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In the proposed ranked intersection filtering technique, an intersection of ranked concept probability scores is taken from key-frames associated with a query shot to identify concepts to be used in retrieval ...
The aim of the work presented here is to propose an improved semantic concept-based video retrieval method using a novel ranked intersection filtering technique and a foreground driven concept co-occurrence ...
Compliance with ethical standards Conflict of interest On behalf of all authors, the corresponding author states that there is no conflict of interest. ...
doi:10.1007/s42452-019-1870-9
fatcat:4oablrlvsvbhdoxdtl54xu4fcm
Probabilistic optimized ranking for multimedia semantic concept detection via RVM
2008
Proceedings of the 2008 international conference on Content-based image and video retrieval - CIVR '08
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Most existing concept detection systems utilize Support Vector Machines (SVM) to perform the detection and ranking of retrieved video shots. ...
We present a probabilistic ranking-driven classifier for the detection of video semantic concept, such as airplane, building, etc. ...
The target of HLF detection is that for each unseen video shots x * , we want to determine the presence of a given concept and rank x * in the retrieval list in order of its relevance. ...
doi:10.1145/1386352.1386378
dblp:conf/civr/ZhengNCT08
fatcat:66as6qbcqzdpfahxlqkcy2k6vm
Efficient Spatio-Temporal Edge Descriptor
[chapter]
2012
Lecture Notes in Computer Science
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Concept-based video retrieval is a developing area of current multimedia content analysis research. ...
The use of spatio-temporal descriptors in content-based video retrieval has always seemed like a promising way to bridge the semantic gap problem in ways that typical visual retrieval methods cannot. ...
Given the classifier's output as relevance scores on a set of shots, we rank the shots in descending order of their score, and compute AP as the average of the precisions of this ranked list truncated ...
doi:10.1007/978-3-642-27355-1_21
fatcat:u5ashqiba5gelhj2rc3h3uijye
Waseda at TRECVID 2016: Ad-hoc Video Search
2016
TREC Video Retrieval Evaluation
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Our approach used the following processing steps: manually creating several search keywords based on the given query phrase, calculating a score for each concept using visual features, and combining the ...
Our best run achieved a mean Average Precision (mAP) of 17.7%. It was ranked the highest among all the runs submitted. ...
Acknowledgments This work was partially supported by JSPS KAKENHI Grant Number 15K00249 and Waseda University Grant for Special Research Projects 2016A-026. ...
dblp:conf/trecvid/UekiKSK16
fatcat:w5k7abadnnc6jlnbqfbi5gx7j4
Waseda_Meisei at TRECVID 2017: Ad-hoc Video Search
2017
TREC Video Retrieval Evaluation
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Concept scores for the test videos were calculated using two methods: directly using features from the output layers of the CNN, or calculating the scores from the SVMs. ...
score for all test videos (IACC 3), manually or automatically extracting several search keywords based on the given query phrases, and combining the semantic concept scores to obtain the final search ...
Acknowledgments This work was partially supported by JSPS KAKENHI Grant Number 15K00249 and 17H01831. ...
dblp:conf/trecvid/UekiHKOK17
fatcat:5bzye36bvzeevgrhueap2hsa4q
A Multimodal and Multilevel Ranking Scheme for Large-Scale Video Retrieval
2008
IEEE transactions on multimedia
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In this paper, we propose a novel multimodal and multilevel (MMML) ranking framework to attack the challenging ranking problem of content-based video retrieval. ...
This problem is particularly challenging for content-based video retrieval due to some issues such as short text queries, insufficient sample learning, fusion of multimodal contents, and large-scale learning ...
Based on the video shots, the basic NN ranking method is engaged to rerank the video shots through a linear combination of text ranking scores and visual similarity scores. ...
doi:10.1109/tmm.2008.921735
fatcat:xqd2wrocyjgvpetsslthr4u344
Beyond Shot Retrieval: Searching for Broadcast News Items Using Language Models of Concepts
[chapter]
2010
Lecture Notes in Computer Science
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We believe that users may better relate to longer, semantic video units and propose a retrieval framework for news story items, which consist of multiple shots. ...
In this paper we use a method to evaluate the performance of story retrieval, based on the TRECVID shot-based retrieval groundtruth. ...
Acknowledgments CLARITY authors AD & AS wish to acknowledge the support of Science Foundation Ireland (grant number 07/CE/I1147). ...
doi:10.1007/978-3-642-12275-0_23
fatcat:36rarwnsvfe37e2hynwk4rffgq
University of Central Florida at TRECVID 2007 Semantic Video Classification and Automatic Search
2007
TREC Video Retrieval Evaluation
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A novel earth mover's distance (EMD) based relevance procedure that finds the similarity between queries and videos through the high level features and semantic word similarity measures. ...
Two types of discriminative low level features, Spatial Pyramid Edge/Color Histograms and Bag of Visterms, are extracted from the key-frames of the shots. ...
Finally, the video shots are ranked and retrieved based on these relevance scores. ...
dblp:conf/trecvid/LiuAOHS07
fatcat:nr2j2kjryvc3vgvnjkzb3exp3a
Integrating Features, Models, and Semantics for TREC Video Retrieval
2001
Text Retrieval Conference
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In this paper, we describe a system for automatic and interactive content-based retrieval of video that integrates features, models, and semantics. ...
We describe our effort of applying the content-based retrieval system to the TREC video retrieval benchmark. ...
The user can retrieve results for a model by issuing a query for a particular semantic label. The target video shots are then ranked by confidence score (higher score gives lower rank). ...
dblp:conf/trec/SmithSABILNPT01
fatcat:ohr7f7ernbhwtfrnylwatwnq2u
IBM Research TREC 2002 Video Retrieval System
2002
Text Retrieval Conference
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In this paper, we describe the IBM Research system for analysis, indexing, and retrieval of video, which was applied to the TREC-2002 video retrieval benchmark. ...
Additional interactive methods for querying include multiple-example and relevance feedback searching, cluster, concept, and storyboard browsing, and iterative fusion based on user-selected aggregation ...
Chiou-Ting Hsu, National Tsing-Hua University, Hsinchu, Taiwan and her students for their assistance in annotating the feature training data sets. ...
dblp:conf/trec/AdamsINNAPSDJLLNNSTGSAZ02
fatcat:jyjfpzawanavbjvfvlsvj64h7y
Fudan University at TRECVID 2007
2007
TREC Video Retrieval Evaluation
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Fudan_T: textual retrieval Fudan_I: image retrieval Evaluation results illustrate that the AP-based fusion method yields higher precision while the MGR fusion method finds more positive shots than other ...
Evaluation results illustrate that there are both advantages and disadvantages exist in all methods. For search, we submitted 5 interactive runs. Fudan_P: using multi-model and AP-based fusion. ...
Acknowledgement This work was supported in part by MoE Foundation under contract 104075 and Shanghai Municipal R&D Foundation under contracts 05QMH1403, 065115017 and 06DZ15008. ...
dblp:conf/trecvid/XueYLGZZLSZZCZJQLDSS07
fatcat:tdbe24lxozbl7pvvhaapk4sfza
National Institute of Informatics, Japan at TRECVID 2012
2012
TREC Video Retrieval Evaluation
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As for the multimedia event detection task, we only use global features to serve as a baseline method for comparison with other complicated systems using local features and multi-modal features. ...
For the instance search task, we use the same approach as the last year's system with some modifications in quantization and fusion of query representations. ...
In the case of a shot consisting of several sub-shots, only the maximum score among subshots' scores is used for that shot. ...
dblp:conf/trecvid/LeZPLNDNDS12
fatcat:vnfucuk3evfpnnhmgy3humbey4
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