A new key frame representation for video segment retrieval

In this paper, we propose an optimal key frame representation scheme based on global statistics for video shot retrieval. Each pixel in this optimal key frame is constructed by considering the probability of occurrence of those pixels at the corresponding pixel position among the frames in a video s...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on circuits and systems for video technology Ročník 15; číslo 9; s. 1148 - 1155
Hlavní autoři: SZE, Kin-Wai, LAM, Kin-Man, GUOPING QIU
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York, NY IEEE 01.09.2005
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Applied sciences
Construction
Content based retrieval
Content-based video retrieval
Exact sciences and technology
Frames
Gunshot detection systems
Histograms
Indexing
Information theory
Information, signal and communications theory
key frame representation
Layout
MPEG 7 Standard
Optimization
Performance evaluation
Pixels
Probability distribution
Representations
Retrieval
Shot
Statistics
Studies
Telecommunications and information theory
video indexing
Video sequences
Performance evaluation
Signal compression
Histogram
Probabilistic approach
Video signal
video indexing
Video technique
Information retrieval
Probability distribution
Frame based representation
Image sequence
Content-based retrieval
Content-based video retrieval
key frame representation
Indexing
ISSN:1051-8215, 1558-2205
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:In this paper, we propose an optimal key frame representation scheme based on global statistics for video shot retrieval. Each pixel in this optimal key frame is constructed by considering the probability of occurrence of those pixels at the corresponding pixel position among the frames in a video shot. Therefore, this constructed key frame is called temporally maximum occurrence frame (TMOF), which is an optimal representation of all the frames in a video shot. The retrieval performance of this representation scheme is further improved by considering the k pixel values with the largest probabilities of occurrence and the highest peaks of the probability distribution of occurrence at each pixel position for a video shot. The corresponding schemes are called k-TMOF and k-pTMOF, respectively. These key frame representation schemes are compared to other histogram-based techniques for video shot representation and retrieval. In the experiments, three video sequences in the MPEG-7 content set were used to evaluate the performances of the different key frame representation schemes. Experimental results show that our proposed representations outperform the alpha-trimmed average histogram for video retrieval.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ObjectType-Article-2
ObjectType-Feature-1
content type line 23
ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2005.852623