The nature of statistical learning theory
The nature of statistical learning theory
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Learning-based linguistic indexing of pictures with 2--d MHMMs
Proceedings of the tenth ACM international conference on Multimedia
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Semantic Queries with Pictures: The VIMSYS Model
VLDB '91 Proceedings of the 17th International Conference on Very Large Data Bases
Efficient Query Refinement in Multimedia Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
Negative pseudo-relevance feedback in content-based video retrieval
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
Learning query-class dependent weights in automatic video retrieval
Proceedings of the 12th annual ACM international conference on Multimedia
TRECVID: evaluating the effectiveness of information retrieval tasks on digital video
Proceedings of the 12th annual ACM international conference on Multimedia
On the detection of semantic concepts at TRECVID
Proceedings of the 12th annual ACM international conference on Multimedia
Successful approaches in the TREC video retrieval evaluations
Proceedings of the 12th annual ACM international conference on Multimedia
Automatic discovery of query-class-dependent models for multimodal search
Proceedings of the 13th annual ACM international conference on Multimedia
Relevance feedback algorithm based on learning from labeled and unlabeled data
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Exploring temporal consistency for video analysis and retrieval
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Video search reranking via information bottleneck principle
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Efficient top-k hyperplane query processing for multimedia information retrieval
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Manifold-ranking based video concept detection on large database and feature pool
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Model-shared subspace boosting for multi-label classification
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A reranking approach for context-based concept fusion in video indexing and retrieval
Proceedings of the 6th ACM international conference on Image and video retrieval
Cluster-based data modeling for semantic video search
Proceedings of the 6th ACM international conference on Image and video retrieval
Video search in concept subspace: a text-like paradigm
Proceedings of the 6th ACM international conference on Image and video retrieval
How many high-level concepts will fill the semantic gap in news video retrieval?
Proceedings of the 6th ACM international conference on Image and video retrieval
Video diver: generic video indexing with diverse features
Proceedings of the international workshop on Workshop on multimedia information retrieval
Novelty detection for cross-lingual news stories with visual duplicates and speech transcripts
Proceedings of the 15th international conference on Multimedia
Cross-domain video concept detection using adaptive svms
Proceedings of the 15th international conference on Multimedia
Video search re-ranking via multi-graph propagation
Proceedings of the 15th international conference on Multimedia
The importance of query-concept-mapping for automatic video retrieval
Proceedings of the 15th international conference on Multimedia
Proceedings of the 15th international conference on Multimedia
Video search reranking through random walk over document-level context graph
Proceedings of the 15th international conference on Multimedia
Semantic concept-based query expansion and re-ranking for multimedia retrieval
Proceedings of the 15th international conference on Multimedia
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Generating diverse and representative image search results for landmarks
Proceedings of the 17th international conference on World Wide Web
Learning structured concept-segments for interactive video retrieval
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Balancing thread based navigation for targeted video search
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Active post-refined multimodality video semantic concept detection with tensor representation
MM '08 Proceedings of the 16th ACM international conference on Multimedia
Query representation by structured concept threads with application to interactive video retrieval
Journal of Visual Communication and Image Representation
MAMECTIS'08 Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems
Foundations and Trends in Information Retrieval
Ice hockey shot event modeling with mixture hidden Markov model
EiMM '09 Proceedings of the 1st ACM international workshop on Events in multimedia
Image categorization combining neighborhood methods and boosting
LS-MMRM '09 Proceedings of the First ACM workshop on Large-scale multimedia retrieval and mining
Distribution-based concept selection for concept-based video retrieval
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Adaptive Learning for Multimodal Fusion in Video Search
PCM '09 Proceedings of the 10th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Multigraph-based query-independent learning for video search
IEEE Transactions on Circuits and Systems for Video Technology
A Multi-Pronged Approach to Improving Semantic Extraction of News Video
Journal of Signal Processing Systems
SAFIRE: towards standardized semantic rich image annotation
AMR'06 Proceedings of the 4th international conference on Adaptive multimedia retrieval: user, context, and feedback
Semi-automatic semantic tagging of 3D images from pancreas cells
MDA'06/07 Proceedings of the 2007 international conference on Advances in mass data analysis of signals and images in medicine biotechnology and chemistry
Example-based event retrieval in video archive using rough set theory and video ontology
Proceedings of the Tenth International Workshop on Multimedia Data Mining
Today's and tomorrow's retrieval practice in the audiovisual archive
Proceedings of the ACM International Conference on Image and Video Retrieval
Properties of optimally weighted data fusion in CBMIR
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
MediaTable: a tool for categorizing multimedia collections
Proceedings of the international conference on Multimedia
Video event retrieval from a small number of examples using rough set theory
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
Social negative bootstrapping for visual categorization
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
Multimedia answering: enriching text QA with media information
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Event retrieval in video archives using rough set theory and partially supervised learning
Multimedia Tools and Applications
Relay boost fusion for learning rare concepts in multimedia
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
Query-Based video event definition using rough set theory and high-dimensional representation
MMM'10 Proceedings of the 16th international conference on Advances in Multimedia Modeling
Oracle in Image Search: A Content-Based Approach to Performance Prediction
ACM Transactions on Information Systems (TOIS)
k-Partite graph reinforcement and its application in multimedia information retrieval
Information Sciences: an International Journal
Efficient targeted search using a focus and context video browser
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Harvesting visual concepts for image search with complex queries
Proceedings of the 20th ACM international conference on Multimedia
Querying for video events by semantic signatures from few examples
Proceedings of the 21st ACM international conference on Multimedia
Content-Based Multimedia Retrieval Using Feature Correlation Clustering and Fusion
International Journal of Multimedia Data Engineering & Management
E2LSH based multiple kernel approach for object detection
Neurocomputing
A novel framework for concept detection on large scale video database and feature pool
Artificial Intelligence Review
Content based image retrieval via a transductive model
Journal of Intelligent Information Systems
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In this paper we unify two supposedly distinct tasks in multimedia retrieval. One task involves answering queries with a few examples. The other involves learning models for semantic concepts, also with a few examples. In our view these two tasks are identical with the only differentiation being the number of examples that are available for training. Once we adopt this unified view, we then apply identical techniques for solving both problems and evaluate the performance using the NIST TRECVID benchmark evaluation data [15]. We propose a combination hypothesis of two complementary classes of techniques, a nearest neighbor model using only positive examples and a discriminative support vector machine model using both positive and negative examples. In case of queries, where negative examples are rarely provided to seed the search, we create pseudo-negative samples. We then combine the ranked lists generated by evaluating the test database using both methods, to create a final ranked list of retrieved multimedia items. We evaluate this approach for rare concept and query topic modeling using the NIST TRECVID video corpus.In both tasks we find that applying the combination hypothesis across both modeling techniques and a variety of features results in enhanced performance over any of the baseline models, as well as in improved robustness with respect to training examples and visual features. In particular, we observe an improvement of 6% for rare concept detection and 17% for the search task.