Video Retrieval with Feature Signature Sketches

Blažek, Adam; Lokoč, Jakub; Skopal, Tomáš

doi:10.1007/978-3-319-11988-5_3

Cited by 10 publications

(3 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Feature Signatures have already been used in a known item search tasks [12]. The authors have created an efficient and effective sketch-based retrieval system [4,5], where each keyframe is represented by a Feature Signature and users can query the database of Feature Signatures using simple signature-based sketches.…”

Section: Feature Signaturesmentioning

confidence: 99%

Visual Descriptors in Methods for Video Hyperlinking

Galuščáková

Batko

Čech

et al. 2017

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval

View full text Add to dashboard Cite

In this paper, we survey different state-of-the-art visual processing methods and utilize them in hyperlinking. Visual information, calculated using Features Signatures, SIMILE descriptors and convolutional neural networks (CNN), is utilized as similarity between video frames and used to find similar faces, objects and setting. Visual concepts in frames are also automatically recognized and textual output of the recognition is combined with search based on subtitles and transcripts. All presented experiments were performed in the Search and Hyperlinking 2014 MediaEval task and Video Hyperlinking 2015 TRECVid task.

show abstract

Section: Feature Signaturesmentioning

confidence: 99%

Visual Descriptors in Methods for Video Hyperlinking

Galuščáková

Batko

Čech

et al. 2017

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval

View full text Add to dashboard Cite

show abstract

“…As visible in Table 1, some target clips showed quickly changing actions (e.g. tasks 1,3,6,7,8), only a few tasks -in particular 2 and 10 -showed scenes of longer duration, which are more distinct but proved hard to find.…”

Section: Expert Runmentioning

confidence: 99%

“…The two searched key-frames have to be within a user specified time window. The retrieval model was described in more detail in [6]. The current enhanced version of the tool also considers the complexity of the key-frames to automatically adjust settings of the retrieval model.…”

Section: Siretmentioning

confidence: 99%

Interactive video search tools: a detailed analysis of the video browser showdown 2015

Cobârzan

Schoeffmann

Bailer

et al. 2016

Multimed Tools Appl

Self Cite

View full text Add to dashboard Cite

Interactive video retrieval tools developed over the past few years are emerging as powerful alternatives to automatic retrieval approaches by giving the user more control as well as more responsibilities. Current research tries to identify the best combinations of image, audio and text features that combined with innovative UI design maximize the tools (2017) 76:5539-5571 performance. We present the last installment of the Video Browser Showdown 2015 which was held in conjunction with the International Conference on MultiMedia Modeling 2015 (MMM 2015) and has the stated aim of pushing for a better integration of the user into the search process. The setup of the competition including the used dataset and the presented tasks as well as the participating tools will be introduced . The performance of those tools will be thoroughly presented and analyzed. Interesting highlights will be marked and some predictions regarding the research focus within the field for the near future will be made.

show abstract