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Video search re-ranking via multi-graph propagation
2007
Proceedings of the 15th international conference on Multimedia - MULTIMEDIA '07
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This paper 1 is concerned with the problem of multimodal fusion in video search. ...
First, we employ an object-sensitive approach to query analysis to improve the baseline result of text-based video search. ...
Therefore, in most multimodal fusion systems for video search, different fusion models are constructed for different query classes [4] [5] [6] [12] [13] , with the involvement of human knowledge. ...
doi:10.1145/1291233.1291279
dblp:conf/mm/LiuLHHL07
fatcat:sp47lkrnmzegzpcfxootw7whxm
CompositeMap
2009
Proceedings of the seventeen ACM international conference on Multimedia - MM '09
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In addition, an incremental Locality Sensitive Hashing algorithm is developed to support more efficient search processes. ...
This paper demonstrates a novel multimodal and adaptive music similarity measure (CompositeMap) with its application in a personalized multimodal music search system. ...
As shown in Fig. 1 , it consists of the following components: CompositeMap which constructs music signatures of multiple music dimensions for both multimodal music queries and music items in the database ...
doi:10.1145/1631272.1631474
dblp:conf/mm/ZhangXWS09
fatcat:m6sl5qh2yrhh3eeaw6u5l47mje
Object-Sensitive Query Analysis for Video Search
2007
2007 IEEE 9th Workshop on Multimedia Signal Processing
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This paper is concerned with the problem of Recently, many studies on video content analysis are improving the performance of text search baseline in video focused on the fusion of multimodalities for ...
the video retrieval, specifically for the search tasks in TRECVID. ...
f deoisearc, we is terms will be assigned with a higher weight in the search object-centric BM25 algorithm for video search, which is stage, as will be explained in the next section. incrementally add ...
doi:10.1109/mmsp.2007.4412891
dblp:conf/mmsp/LiuHL07
fatcat:hfssdwyspnewlmcgzeg6xmhp7e
Web video recommendation and long tail discovering
2008
2008 IEEE International Conference on Multimedia and Expo
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In this paper, to facilitate user's browsing we propose relevant and exploratory recommendation algorithms utilizing multimodal similarity and contextual network to organize web videos of various topics ...
Given countless web videos available online, one problem is how to help users find videos to their taste in an efficient way. ...
Incremental construction of the network The first objective is utilizing explicit links on video pages (as in 5 th layer of Fig.1 ) to initialize the structure of network. ...
doi:10.1109/icme.2008.4607448
dblp:conf/icmcs/WuZGL08
fatcat:5dczcoe4zvdmzpoqxfzp2j47sq
A Survey on Multimodal Video Representation for Semantic Retrieval
2005
EUROCON 2005 - The International Conference on "Computer as a Tool"
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This paper surveys the approaches to video representation, focusing on semantic analysis for content-based indexing and retrieval. ...
Furthermore, the concept of video multimodality is reevaluated and redefined in order to introduce modalities such as editing technique or affect to the audience. ...
For more information please visit www.cost292.org. ...
doi:10.1109/eurcon.2005.1629877
fatcat:e25kjkfqx5fplht6rrnavhwy54
Concept-Oriented Indexing of Video Databases: Toward Semantic Sensitive Retrieval and Browsing
2004
IEEE Transactions on Image Processing
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; (c) Semantic video classification; (d) Concept-oriented video database indexing and access. ...
Specifically, the framework includes: (1) A semantic-sensitive video content representation framework by using principal video shots to enhance the quality of features; (2) Semantic video concept interpretation ...
Query Concept Evaluation for Query-By-Example After the query concepts are interpreted by the selected video clips, similarity search is performed through the underlying video database indexing structure ...
doi:10.1109/tip.2004.827232
pmid:15648863
fatcat:pevnxl3cfzb63fxyqbz3nssgti
Intent based Image Ranking for Web Search Reranking
2016
IOSR Journal of Computer Engineering
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New approach is presented for reranking of the images. While searching images on the web to increase the accuracy of the image search result Image search reranking is used. ...
Image search reranking is an effective approach to refine the initial text-based image search result. In the reranking process,image visual contents are used to refine the initial text based result. ...
Acknowledgment Authors would like to thank the researchers as well as publishers for making their resources available and teachers for their guidance. ...
doi:10.9790/0661-1804029096
fatcat:fjw64622k5atzhwdikx3el5gla
Optimizing video search reranking via minimum incremental information loss
2008
Proceeding of the 1st ACM international conference on Multimedia information retrieval - MIR '08
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This paper is concerned with video search reranking -the task of reordering the initial ranked documents (video shots) to improve the search performance -in an optimization framework. ...
We conducted comprehensive experiments on automatic video search task over TRECVID 2005-2007 benchmarks, and showed significant and consistent improvements over the text search baseline and other reranking ...
For each query, video search systems are required to return a ranked list of up to 1, 000 shots. ...
doi:10.1145/1460096.1460139
dblp:conf/mir/LiuMWH08
fatcat:jqecownit5d2vgcv5rgyzv7xqa
Query-Document-Dependent Fusion: A Case Study of Multimodal Music Retrieval
2013
IEEE transactions on multimedia
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We thus propose a general multimodal fusion framework, query-document-dependent fusion (QDDF), which derives the optimal fusion strategy for each query-document pair via intelligent content analysis of ...
In recent years, multimodal fusion has emerged as a promising technology for effective multimedia retrieval. ...
, such as meta search, and video/image retrieval. ...
doi:10.1109/tmm.2013.2280437
fatcat:7io6qmo4bre5vagrtaaap7lgcm
[Invited papers] Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)
2019
ITE Transactions on Media Technology and Applications
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The Lifelog Search Challenge (LSC) is an international content retrieval competition that evaluates search for personal lifelog data. ...
We try to identify reasons why some systems performed better than others and provide an outlook as well as open issues for upcoming iterations of the challenge. ...
Each task is represented by the temporal query, which is textual in nature and incrementally refined after every 30 seconds. ...
doi:10.3169/mta.7.46
fatcat:432mkxsdgbagjkx7z6cvdyr3hm
Text-to-image retrieval based on incremental association via multimodal hypernetworks
2012
2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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A text-to-image retrieval model requires an incremental learning method for its practical use since the multimodal data grow up dramatically. ...
Using the HN incrementally learned by a sequential Bayesian sampling, in the multimodal hypernetwork-based text-to-image retrieval, a given text query is crossmodally expanded to the visual query and then ...
[1] [2] and article or video searching [3] . ...
doi:10.1109/icsmc.2012.6378291
dblp:conf/smc/HaLZ12
fatcat:a6bxtihwnncarfinib6e3hgpne
Design of Multimodal Dissimilarity Spaces for Retrieval of Video Documents
2008
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper proposes a novel representation space for multimodal information, enabling fast and efficient retrieval of video data. ...
The obtained results confirm the validity of the proposed approach for the representation and retrieval of multimodal information in a real-time framework. ...
Abstract This paper proposes a novel representation space for multimodal information, enabling fast and efficient retrieval of video data. ...
doi:10.1109/tpami.2007.70801
pmid:18617712
fatcat:2f2egkuiwvecfc6awmj2b7wvaa
Cognitive learning and the multimodal memory game: Toward human-level machine learning
2008
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)
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However, current machine learning techniques are far from sufficient for achieving human-level intelligence. ...
We then propose a multimodal memory game as a research platform to study cognitive learning architectures and algorithms, where the machine learner and two human players question and answer about the scenes ...
Image search application. Given a text query, the learner is to find an image that best matches with the text. ...
doi:10.1109/ijcnn.2008.4634261
dblp:conf/ijcnn/Zhang08
fatcat:k6ifhx3cbndk3nn7goqckaqupi
Handling temporal heterogeneous data for content-based management of large video collections
2006
Multimedia tools and applications
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Keywords Video document · MPEG-7 · TREC video track · Content-based multimedia retrieval · ViCoDE Motivations Video data processing has for long been of high interest for the development of compression ...
However, unlike for other media, the management of a collection of video documents adds the problem of efficiently handling an overwhelming volume of temporal data. ...
In this paper, we detail the framework we have constructed for the management of video document collections in the context of our research in video content retrieval. ...
doi:10.1007/s11042-006-0042-2
fatcat:oxv6cr6msvhz3hef2ldkofgipy
Retrieval of Multimedia Objects by Fusing Multiple Modalities
2016
Proceedings of the 2016 ACM on International Conference on Multimedia Retrieval - ICMR '16
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Searching for multimedia objects with heterogeneous modalities is critical for the construction of effective multimedia retrieval systems. ...
Our framework integrates more than two modalities and high-level information, so as to retrieve multimedia objects enriched with high-level textual and visual concepts, in response to a multimodal query ...
It should be noted that multimedia search systems are often interactive and user feedback is incorporated for progressively refining the query (e.g. ...
doi:10.1145/2911996.2912068
dblp:conf/mir/GialampoukidisM16
fatcat:uvpiiii4zbdfdpqnzz7724ivnu
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