Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Reasoning about inconsistencies in natural language requirements
ACM Transactions on Software Engineering and Methodology (TOSEM)
Making Mobile Requirements Engineering Tools Usable and Useful
RE '06 Proceedings of the 14th IEEE International Requirements Engineering Conference
Software Cinema-Video-based Requirements Engineering
RE '06 Proceedings of the 14th IEEE International Requirements Engineering Conference
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
PREREQIR: Recovering Pre-Requirements via Cluster Analysis
WCRE '08 Proceedings of the 2008 15th Working Conference on Reverse Engineering
Crowdsourcing, attention and productivity
Journal of Information Science
Information and Software Technology
Using Mobile RE Tools to Give End-Users Their Own Voice
RE '10 Proceedings of the 2010 18th IEEE International Requirements Engineering Conference
Identifying task-based sessions in search engine query logs
Proceedings of the fourth ACM international conference on Web search and data mining
From requirements to models: feedback generation as a result of formalization
CAiSE'11 Proceedings of the 23rd international conference on Advanced information systems engineering
Distributional semantics from text and images
GEMS '11 Proceedings of the GEMS 2011 Workshop on GEometrical Models of Natural Language Semantics
iRequire: Gathering end-user requirements for new apps
RE '11 Proceedings of the 2011 IEEE 19th International Requirements Engineering Conference
A clustering-based approach for discovering flaws in requirements specifications
Proceedings of the 27th Annual ACM Symposium on Applied Computing
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[Context and motivation] Traditionally, requirements are documented using natural language text. However, there exist several approaches that promote the use of rich media requirements descriptions. Apart from text-based descriptions these multimodal requirements can be enriched by images, audio, or even video. [Question/Problem] The transcription and automated analysis of multimodal information is an important open question, which has not been sufficiently addressed by the Requirement Engineering (RE) community so far. Therefore, in this research preview paper we sketch how we plan to tackle research challenges related to the field of multimodal requirements analysis. We are in particular focusing on the automation of the analysis process. [Principal idea/results] In our recent research we have started to gather and manually analyze multimodal requirements. Furthermore, we have worked on concepts which initially allow the analysis of multimodal information. The purpose of the planned research is to combine and extend our recent work and to come up with an approach supporting the automatic analysis of multimodal requirements. [Contribution] In this paper we give a preview on the planned work. We present our research goal, discuss research challenges and depict an early conceptual solution.