E-viri
Recenzirano
-
Zhou, Xiangmin; Chen, Lei; Zhou, Xiaofang
IEEE transactions on multimedia, 08/2012, Letnik: 14, Številka: 4Journal Article
With the huge amount of video data and its exponential growth in recent years, many new challenges, like storage, search and navigation, have arisen. Among these challenges, near-duplicate video retrieval aims to find clips that are identical or nearly identical in content to a query clip. This has attracted much attention due to its wide applications including copyright detection, commercial monitoring and news video tracking. In this paper, we propose a practical solution based on 3-D structure tensor model for this problem. We first propose a novel video representation, adaptive structure video tensor series, together with a robust similarity measure, to improve the retrieval effectiveness. Then, we design a dimensionality reduction technique for tensor series to improve the search efficiency. Finally, we prove the effectiveness and efficiency of the proposed method by extensive experiments on hundreds of hours of real video data.
![loading ... loading ...](themes/default/img/ajax-loading.gif)
Vnos na polico
Trajna povezava
- URL:
Faktor vpliva
Dostop do baze podatkov JCR je dovoljen samo uporabnikom iz Slovenije. Vaš trenutni IP-naslov ni na seznamu dovoljenih za dostop, zato je potrebna avtentikacija z ustreznim računom AAI.
Leto | Faktor vpliva | Izdaja | Kategorija | Razvrstitev | ||||
---|---|---|---|---|---|---|---|---|
JCR | SNIP | JCR | SNIP | JCR | SNIP | JCR | SNIP |
Baze podatkov, v katerih je revija indeksirana
Ime baze podatkov | Področje | Leto |
---|
Povezave do osebnih bibliografij avtorjev | Povezave do podatkov o raziskovalcih v sistemu SICRIS |
---|
Vir: Osebne bibliografije
in: SICRIS
To gradivo vam je dostopno v celotnem besedilu. Če kljub temu želite naročiti gradivo, kliknite gumb Nadaljuj.