F
Fereshteh Falah Chamasemani
Researcher at Universiti Putra Malaysia
Publications - 9
Citations - 76
Fereshteh Falah Chamasemani is an academic researcher from Universiti Putra Malaysia. The author has contributed to research in topics: Video tracking & Search engine indexing. The author has an hindex of 4, co-authored 9 publications receiving 68 citations.
Papers
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Journal ArticleDOI
Systematic Review and Classification on Video Surveillance Systems
TL;DR: This review shows, although many publication and research focus on real-time aspect of the challenge, only few researches have investigated the deployment of extracted and retrieved information for forensic video surveillance.
Journal ArticleDOI
Video abstraction using density-based clustering algorithm
TL;DR: An enhanced video abstraction approach called Density-based Surveillance video abstraction (DbSva) to generate a static short-length video and to employ the DENsity-based CLUstEring algorithm (DENCLUE) to significantly improve the quality of abstract videos.
Journal Article
A Framework for Automatic Video Surveillance Indexing and Retrieval
TL;DR: This study presents a novel video surveillance indexing and retrieval framework to cope with the above challenges and supports an efficient search and actively refines the retrieval result by formulating various query types including: query-by-text, query-By-example and query- by-region.
Proceedings ArticleDOI
A study on surveillance video abstraction techniques
TL;DR: This paper critically review the applicable video abstraction techniques in surveillance domain based on their hierarchical classification, and briefly introduces a new approach for generating a static surveillance video abstraction, which mitigate the drawbacks of reviewed approaches.
Impact of mobile context-aware applications on human computer interaction
TL;DR: The rapid growth of technological advances and availability of mobile devices has raised the opportunity to innovate feasible context-aware applications with the ability to access information anywhere and anytime to show their impact on human computer interaction.