Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Learning query-class dependent weights in automatic video retrieval
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
Multimedia semantic indexing using model vectors
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Evaluation campaigns and TRECVid
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
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
Columbia University's semantic video search engine
Proceedings of the 6th ACM international conference on Image and video retrieval
Semantic concept-based query expansion and re-ranking for multimedia retrieval
Proceedings of the 15th international conference on Multimedia
Searching Visual Semantic Spaces with Concept Filters
ICSC '07 Proceedings of the International Conference on Semantic Computing
Optimization of interactive visual-similarity-based search
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
VisionGo: bridging users and multimedia video retrieval
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Visual islands: intuitive browsing of visual search results
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Foundations and Trends in Information Retrieval
System architecture of a web service for Content-Based Image Retrieval
Proceedings of the ACM International Conference on Image and Video Retrieval
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Botanical data retrieval system supporting discovery learning
Proceedings of the 1st ACM International Conference on Multimedia Retrieval
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Attributes for classifier feedback
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
An educational application for botanical study in science classes at elementary schools
Proceedings of the 12th International Conference on Interaction Design and Children
Memory recall based video search: Finding videos you have seen before based on your memory
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Multimedia search reranking: A literature survey
ACM Computing Surveys (CSUR)
Hi-index | 0.00 |
Users of most visual search systems suffer from two primary sources of frustration. Before a search over this data is executed, a query must be formulated. Traditional keyword search systems offer only passive, non-interactive input, which frustrates users that are unfamiliar with the search topic or the target data set. Additionally, after query formulation, result inspection is often relegated to a tiresome, linear inspection of results bound to a single query. In this paper, we reexamine the struggles that users encounter with existing paradigms and present a solution prototype system, CuZero. CuZero employs a unique query process that allows zero-latency query formulation for an informed human search. Relevant visual concepts discovered from various strategies (lexical mapping, statistical occurrence, and search result mining) are automatically recommended in real time after users enter each single word. CuZero also introduces a new intuitive visualization system that allows users to navigate seamlessly in the concept space at-will and simultaneously while displaying the results corresponding to arbitrary permutations of multiple concepts in real time. The result is the creation of an environment that allows the user to rapidly scan many different query permutations without additional query reformulation. Such a navigation system also allows efficient exploration of different types of queries, such as semantic concepts, visual descriptors, and example content, all within one navigation session as opposed to the repetitive trials used in conventional systems.