Cheng, W.H.,
Chuang, Y.Y.,
Lin, Y.T.,
Hsieh, C.C.,
Fang, S.Y.,
Chen, B.Y.,
Wu, J.L.,
Semantic Analysis for Automatic Event Recognition and Segmentation of
Wedding Ceremony Videos,
CirSysVideo(18), No. 11, November 2008, pp. 1639-1650.
IEEE DOI
0811
BibRef
Peng, W.T.,
Chu, W.T.,
Chang, C.H.,
Chou, C.N.,
Huang, W.J.,
Chang, W.Y.,
Hung, Y.P.,
Editing by Viewing:
Automatic Home Video Summarization by Viewing Behavior Analysis,
MultMed(13), No. 3, 2011, pp. 539-550.
IEEE DOI
1106
BibRef
Pang, Y.W.[Yan-Wei],
Hao, Q.A.[Qi-Ang],
Yuan, Y.[Yuan],
Hu, T.[Tanji],
Cai, R.[Rui],
Zhang, L.[Lei],
Summarizing tourist destinations by mining user-generated travelogues
and photos,
CVIU(115), No. 3, March 2011, pp. 352-363.
Elsevier DOI
1103
Travelogue mining; Destination summarization; User-generated content;
Virtual tour
BibRef
Cong, Y.,
Yuan, J.,
Luo, J.,
Towards Scalable Summarization of Consumer Videos Via Sparse Dictionary
Selection,
MultMed(14), No. 1, January 2012, pp. 66-75.
IEEE DOI
1201
BibRef
Cong, Y.[Yang],
Liu, J.[Ji],
Sun, G.[Gan],
You, Q.Z.[Quan-Zeng],
Li, Y.C.[Yun-Cheng],
Luo, J.B.[Jie-Bo],
Adaptive Greedy Dictionary Selection for Web Media Summarization,
IP(26), No. 1, January 2017, pp. 185-195.
IEEE DOI
1612
Internet
BibRef
Ojutkangas, O.[Onni],
Peltola, J.[Johannes],
Järvinen, S.[Sari],
Location based abstraction of user generated mobile videos,
SP:IC(27), No. 8, September 2012, pp. 917-924.
Elsevier DOI
1209
Video summarization; Context awareness; Video content analysis;
Temporal segmentation
BibRef
Biel, J.I.,
Gatica-Perez, D.,
The YouTube Lens: Crowdsourced Personality Impressions and Audiovisual
Analysis of Vlogs,
MultMed(15), No. 1, January 2013, pp. 41-55.
IEEE DOI
1212
BibRef
Biel, J.I.,
Gatica-Perez, D.,
Mining Crowdsourced First Impressions in Online Social Video,
MultMed(16), No. 7, November 2014, pp. 2062-2074.
IEEE DOI
1411
data mining
BibRef
Chen, Q.,
Wang, M.,
Huang, Z.,
Hua, Y.,
Song, Z.,
Yan, S.,
VideoPuzzle: Descriptive One-Shot Video Composition,
MultMed(15), No. 3, 2013, pp. 521-534.
IEEE DOI
1303
one-shot, personal videos.
BibRef
Ryoo, M.S.,
Choi, S.[Sunglok],
Joung, J.H.[Ji Hoon],
Lee, J.Y.[Jae-Yeong],
Yu, W.[Wonpil],
Personal driving diary:
Automated recognition of driving events from first-person videos,
CVIU(117), No. 10, 2013, pp. 1299-1312.
Elsevier DOI
1309
BibRef
Earlier: A1, A4, A3, A2, A1:
Personal driving diary:
Constructing a video archive of everyday driving events,
WMVC11(628-633).
IEEE DOI
1101
Personal driving diary
BibRef
Bolaños, M.[Marc],
Garolera, M.[Maite],
Radeva, P.I.[Petia I.],
Video Segmentation of Life-Logging Videos,
AMDO14(1-9).
Springer DOI
1407
BibRef
Chang, H.C.[Hsing-Ching],
Yang, C.K.[Chuan-Kai],
Fast content-aware video length reduction,
SIViP(8), No. 7, October 2014, pp. 1383-1397.
WWW Link.
1410
BibRef
Zhang, L.M.[Lu-Ming],
Gao, Y.[Yue],
Hong, R.C.[Ri-Chang],
Hu, Y.X.[Yu-Xing],
Ji, R.R.[Rong-Rong],
Dai, Q.H.[Qiong-Hai],
Probabilistic Skimlets Fusion for Summarizing Multiple Consumer
Landmark Videos,
MultMed(17), No. 1, January 2015, pp. 40-49.
IEEE DOI
1502
learning (artificial intelligence)
BibRef
Xu, B.,
Wang, X.,
Jiang, Y.G.,
Fast Summarization of User-Generated Videos:
Exploiting Semantic, Emotional, and Quality Clues,
MultMedMag(23), No. 3, July 2016, pp. 23-33.
IEEE DOI
1609
emotion recognition
BibRef
Sun, M.[Min],
Farhadi, A.[Ali],
Chen, T.H.,
Seitz, S.[Steve],
Ranking Highlights in Personal Videos by Analyzing Edited Videos,
IP(25), No. 11, November 2016, pp. 5145-5157.
IEEE DOI
1610
BibRef
Earlier: A1, A2, A4, Only:
Ranking Domain-Specific Highlights by Analyzing Edited Videos,
ECCV14(I: 787-802).
Springer DOI
1408
content-based retrieval
BibRef
Sun, M.[Min],
Zeng, K.H.,
Lin, Y.C.,
Farhadi, A.[Ali],
Semantic Highlight Retrieval and Term Prediction,
IP(26), No. 7, July 2017, pp. 3303-3316.
IEEE DOI
1706
BibRef
Earlier: A2, A3, A4, A1:
Semantic highlight retrieval,
ICIP16(3359-3363)
IEEE DOI
1610
Databases, Nearest neighbor searches, Prediction methods,
Semantics, Tagging, Videos, Visualization, Video summarization,
highlight retrieval.
Indexes
BibRef
Truelove, M.[Marie],
Khoshelham, K.[Kourosh],
McLean, S.[Simon],
Winter, S.[Stephan],
Vasardani, M.[Maria],
Identifying Witness Accounts from Social Media Using Imagery,
IJGI(6), No. 4, 2017, pp. xx-yy.
DOI Link
1705
What are the posted images from micro-bloggers.
BibRef
Zhang, L.,
Jing, P.,
Su, Y.,
Zhang, C.,
Shaoz, L.,
SnapVideo: Personalized Video Generation for a Sightseeing Trip,
Cyber(47), No. 11, November 2017, pp. 3866-3878.
IEEE DOI
1710
Feature extraction, Mobile handsets, Probabilistic logic,
Semantics, Video recording, Aesthetic, SnapVideo,
comprehensive views, scenic spots, video, clips
BibRef
Vonikakis, V.,
Subramanian, R.,
Arnfred, J.,
Winkler, S.,
A Probabilistic Approach to People-Centric Photo Selection and
Sequencing,
MultMed(19), No. 11, November 2017, pp. 2609-2624.
IEEE DOI
1710
Correlation, Crowdsourcing, Libraries,
Mixed integer linear programming, Probabilistic logic,
Sequential analysis, Crowdsourcing (CS), image appeal,
mixed integer linear programming (MILP),
personal photo libraries, slideshow, creation
BibRef
Yin, Y.,
Thapliya, R.,
Zimmermann, R.,
Encoded Semantic Tree for Automatic User Profiling Applied to
Personalized Video Summarization,
CirSysVideo(28), No. 1, January 2018, pp. 181-192.
IEEE DOI
1801
Dictionaries, Encoding, Feature extraction, Image segmentation,
Semantics, Streaming media, Visualization, Semantic modeling,
visual attention
BibRef
Park, C.C.[Cesc Chunseong],
Kim, Y.J.[Young-Jin],
Kim, G.[Gunhee],
Retrieval of Sentence Sequences for an Image Stream via Coherence
Recurrent Convolutional Networks,
PAMI(40), No. 4, April 2018, pp. 945-957.
IEEE DOI
1804
Caption for asequence. Travel topics.
convolution, document image processing, feedforward neural nets,
image retrieval, natural languages, neural net architecture,
convolutional neural networks
BibRef
Kim, H.,
Mei, T.,
Byun, H.,
Yao, T.,
Exploiting Web Images for Video Highlight Detection With Triplet Deep
Ranking,
MultMed(20), No. 9, September 2018, pp. 2415-2426.
IEEE DOI
1809
convolution, feature extraction, feedforward neural nets, Internet,
learning (artificial intelligence), search engines,
deep learning
BibRef
Yao, T.,
Mei, T.,
Rui, Y.,
Highlight Detection with Pairwise Deep Ranking for First-Person Video
Summarization,
CVPR16(982-990)
IEEE DOI
1612
BibRef
Qayyum, H.[Huma],
Majid, M.[Muhammad],
ul Haq, E.[Ehatisham],
Anwar, S.M.[Syed Muhammad],
Generation of personalized video summaries by detecting viewer's
emotion using electroencephalography,
JVCIR(65), 2019, pp. 102672.
Elsevier DOI
1912
Video summarization, Emotion recognition,
Electroencephalography, Feature extraction, Classification
BibRef
Sanap, P.[Pratap],
Apte, S.D.[Shaila D.],
Quality assessment framework for video contextualisation of personal
videos,
IET-IPR(14), No. 3, 28 February 2020, pp. 545-551.
DOI Link
2002
BibRef
Vivekraj, V.K.,
Sen, D.[Debashis],
Raman, B.[Balasubramanian],
Vector ordering and regression learning-based ranking for dynamic
summarisation of user videos,
IET-IPR(14), No. 15, 15 December 2020, pp. 3941-3956.
DOI Link
2103
BibRef
Wang, H.[Hang],
Zhou, P.H.[Peng-Hao],
Zhou, C.[Chong],
Zhang, Z.[Zhao],
Sun, X.[Xing],
PAC-Net: Highlight Your Video via History Preference Modeling,
ECCV22(XXXIV:614-631).
Springer DOI
2211
BibRef
Hu, M.[Min],
Hu, R.M.[Rui-Min],
Wang, X.C.[Xiao-Cheng],
Sheng, R.[Rui],
Unsupervised Temporal Attention Summarization Model for User Created
Videos,
MMMod21(I:519-530).
Springer DOI
2106
BibRef
Ren, J.[Jian],
Shen, X.H.[Xiao-Hui],
Lin, Z.[Zhe],
Mech, R.[Radomír],
Best Frame Selection in a Short Video,
WACV20(3201-3210)
IEEE DOI
2006
From personal videos.
Face, Visualization, Measurement, Image quality, Facial features,
Benchmark testing, Task analysis
BibRef
Cappallo, S.[Spencer],
Mensink, T.[Thomas],
Snoek, C.G.M.[Cees G.M.],
Video Stream Retrieval of Unseen Queries using Semantic Memory,
BMVC16(xx-yy).
HTML Version.
1805
BibRef
Apostolidis, K.[Konstantinos],
Apostolidis, E.[Evlampios],
Mezaris, V.[Vasileios],
A Motion-Driven Approach for Fine-Grained Temporal Segmentation of
User-Generated Videos,
MMMod18(I:29-41).
Springer DOI
1802
BibRef
Oh, T.H.[Tae-Hyun],
Joo, K.[Kyungdon],
Joshi, N.[Neel],
Wang, B.Y.[Bao-Yuan],
Kweon, I.S.[In So],
Kang, S.B.[Sing Bing],
Personalized Cinemagraphs Using Semantic Understanding and
Collaborative Learning,
ICCV17(5170-5179)
IEEE DOI
1802
Artistic and narrative experience.
groupware, image segmentation,
learning (artificial intelligence), object recognition,
Visualization
BibRef
Hosseini, H.,
Xiao, B.,
Poovendran, R.,
Deceiving Google's Cloud Video Intelligence API Built for Summarizing
Videos,
PRIV17(1305-1309)
IEEE DOI
1709
Cloud computing, Google, Media.
BibRef
Chiu, W.C.[Wei-Chen],
Galasso, F.[Fabio],
Fritz, M.[Mario],
Towards Segmenting Consumer Stereo Videos:
Benchmark, Baselines and Ensembles,
ACCV16(V: 378-395).
Springer DOI
1704
BibRef
Yonetani, R.[Ryo],
Kitani, K.M.[Kris M.],
Sato, Y.[Yoichi],
Visual Motif Discovery via First-Person Vision,
ECCV16(II: 187-203).
Springer DOI
1611
images of visual experiences that are significant and
shared by many people.
BibRef
Bettadapura, V.[Vinay],
Castro, D.,
Essa, I.[Irfan],
Discovering picturesque highlights from egocentric vacation videos,
WACV16(1-9)
IEEE DOI
1606
Cameras
BibRef
Fukusato, T.[Tsukasa],
Hirai, T.[Tatsunori],
Kawamura, S.[Shunya],
Morishima, S.[Shigeo],
Computational Cartoonist:
A Comic-Style Video Summarization System for Anime Films,
MMMod16(I: 42-50).
Springer DOI
1601
BibRef
Hirai, T.[Tatsunori],
Morishima, S.[Shigeo],
Frame-Wise Continuity-Based Video Summarization and Stretching,
MMMod16(I: 806-817).
Springer DOI
1601
BibRef
Zhao, B.[Bin],
Xing, E.P.[Eric P.],
Quasi Real-Time Summarization for Consumer Videos,
CVPR14(2513-2520)
IEEE DOI
1409
BibRef
Gygli, M.[Michael],
Grabner, H.[Helmut],
Riemenschneider, H.[Hayko],
Van Gool, L.J.[Luc J.],
Creating Summaries from User Videos,
ECCV14(VII: 505-520).
Springer DOI
1408
BibRef
Sun, L.[Lei],
Ai, H.Z.[Hai-Zhou],
Lao, S.H.[Shi-Hong],
The dynamic VideoBook: A hierarchical summarization for surveillance
video,
ICIP13(3963-3966)
IEEE DOI
1412
Video summarization; dynamic video collage; surveillance video
BibRef
Sidiropoulos, P.[Panagiotis],
Mezaris, V.[Vasileios],
Kompatsiaris, I.[Ioannis],
Enhancing video concept detection with the use of tomographs,
ICIP13(3991-3995)
IEEE DOI
1412
concept detection
BibRef
Panagiotakis, C.[Costas],
Ovsepian, N.[Nelly],
Video Synopsis Based on a Sequential Distortion Minimization Method,
CAIP13(94-101).
Springer DOI
1308
BibRef
Wei, A.[Anjun],
Pei, Y.[Yuru],
Zha, H.B.[Hong-Bin],
Random-sampling-based spatial-temporal feature for consumer video
concept classification,
ICIP12(1861-1864).
IEEE DOI
1302
BibRef
del Fabro, M.[Manfred],
Böszörmenyi, L.[Laszlo],
Summarization and Presentation of Real-Life Events Using
Community-Contributed Content,
MMMod12(630-632).
Springer DOI
1201
BibRef
Han, B.H.[Bo-Hyung],
Hamm, J.[Jihun],
Sim, J.[Jack],
Personalized video summarization with human in the loop,
WACV11(51-57).
IEEE DOI
1101
BibRef
Takeuchi, Y.[Yuichiro],
Sugimoto, M.[Masanori],
User-adaptive home video summarization using personal photo libraries,
CIVR07(472-479).
DOI Link
0707
BibRef
Hoashi, K.[Keiichiro],
Sugano, M.[Masaru],
Naito, M.[Masaki],
Matsumoto, K.[Kazunori],
Sugaya, F.[Fumiaki],
Video Story Segmentation and Its Application to Personal Video
Recorders,
CIVR05(39-48).
Springer DOI
0507
BibRef
Miyamori, H.[Hisashi],
Automatic Generation of Personalized Digest Based on Context Flow and
Distinctive Events,
CIVR04(179-188).
Springer DOI
0505
BibRef
Earlier:
Automatic Generation of Personalized Video Summary Based on Context
Flow and Distinctive Events,
VLBV03(111-121).
Springer DOI
0310
BibRef
Nakamura, Y.[Yuichi],
Ohde, J.[Jun'ya],
Ohta, Y.[Yuichi],
Structuring Personal Activity Records Based on Attention:
Analyzing Videos from Head Mounted Camera,
ICPR00(Vol IV: 222-225).
IEEE DOI
0009
BibRef
And:
Structuring Personal Experiences: Analyzing Views from a Head-mounted
Camera,
ICME00(TP10).
0007
BibRef
Aner-Wolf, A.,
Wolf, L.,
Video de-abstraction or how to save money on your wedding video,
WACV02(264-268).
IEEE DOI
0303
BibRef
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Summarization, Movies, Script Based, Structured Videos, Presentations .