Correction to: VTC: Improving Video-Text Retrieval with User Comments
نویسندگان
چکیده
In the originally published version of chapter 36, place and country first affiliation, Unitary Ltd., erroneously showed “Moscow, Russia” instead “London, UK”. This has been corrected.
منابع مشابه
Examining User Interactions with Video Retrieval Systems
The Informedia group at Carnegie Mellon University has since 1994 been developing and evaluating surrogates, summary interfaces, and visualizations for accessing digital video collections containing thousands of documents, millions of shots, and terabytes of data. This paper reports on TRECVID 2005 and 2006 interactive search tasks conducted with the Informedia system by users having no knowled...
متن کاملImproving Multimedia Retrieval with a Video OCR
We present a set of experiments with a video OCR system (VOCR) tailored for video information retrieval and establish its importance in multimedia search in general and for some specific queries in particular. The system, inspired by an existing work on text detection and recognition in images, has been developed using techniques involving detailed analysis of video frames producing candidate t...
متن کاملCmu - Ucr - Bosch @ Trecvid 2017 : Video to Text Retrieval
We participated in the matching and ranking subtask in TRECVid challenge 2017. The task here was to return a ranked list of the most likely text descriptions that correspond to each video. We adopted a joint visual semantic embedding approach for image-text retrieval and applied to the video-text retrieval task utilizing key-frames extracted by dissimilaritybased sparse subset selection approac...
متن کاملImproving Text Summarization Using Noun Retrieval Techniques
Text Summarization and categorization have always been two of the most demanding information retrieval tasks. Deploying a generalized, multifunctional mechanism that produces good results for both of the aforementioned tasks seems to be a panacea for most of the text-based, information retrieval needs. In this paper, we present the keyword extraction techniques, exploring the effects that part ...
متن کاملImproving the Automatic Retrieval of Text Documents
This paper reports on a statistical stemming algorithm based on link analysis. Considering that a word is formed by a prefix (stem) and a suffix, the key idea is that the interlinked prefixes and suffixes form a community of sub-strings. Thus, discovering these communities means searching for the best word splits that give the best word stems. The algorithm has been used in our participation in...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Lecture Notes in Computer Science
سال: 2023
ISSN: ['1611-3349', '0302-9743']
DOI: https://doi.org/10.1007/978-3-031-19833-5_43