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Table 1. Classication results from live video in unstructured environments.

in Moving Target Classification and Tracking from Real-time Video
by Alan J. Lipton, Hironobu Fujiyoshi, Raju S. Patil 1998
"... In PAGE 6: ... Another limitation is that targets which are very small ( lt; 5 5 pixels) tend to be temporally inconsistent and hence rejected. Table1 shows the results of the classification algorithm applied to over four hours of live video in an unstructured environment. The main problem with vehicle recognition is that when vehicles are partially occluded for long times, they are sometimes rejected.... ..."
Cited by 116

Table 1. Classication results from live video in unstructured environments.

in Moving target classification and tracking from real-time video
by Alan J. Lipton, Hironobu Fujiyoshi 1998
"... In PAGE 6: ... Another limitation is that targets which are very small (#3C 5 #02 5 pixels) tend to be temporally inconsistent and hence rejected. Table1 shows the results of the classification algorithm applied to over four hours of live video in an unstructured environment. The main problem with vehicle recognition is that when vehicles are partially occluded for long times, they are sometimes rejected.... ..."
Cited by 116

Table 1. Video sequence recordings

in INTRODUCTION LEARNING INDIVIDUAL ROLES FROM VIDEO IN A SMART HOME
by O. Brdiczka, J. Maisonnasse, P. Reignier, J. L. Crowley
"... In PAGE 5: ... Gaussians with a too weak contribution to the mixture are eliminated. ) 8 ( _ dimT round g nb = (4) We evaluated the classifier on the video sequence recordings ( Table1 ) using 8-fold cross-validation. Each sequence has been used for testing once, while learning the model with the 7 remaining sequences.... In PAGE 7: ... The class with the highest counter value after all classes have been compared is selected. Again we evaluated the classifier on the video sequence recordings ( Table1 ) using 8-fold cross-validation. A radial basis function kernel with C=11.... ..."

Table 4. Characteristics of the video sequences

in RD-OPTIMIZEDRATESHAPINGFORMULTIPLESCALABLEVIDEOSTREAMS
by Rajyalakshmi Mahalingam, Wei Tu, Eckehard Steinbach
"... In PAGE 3: ...ased rate shaping strategy for both SVC and H.264/AVC SLC. Both SVC and SLC bitstreams are generated using the JSVM software [7]. In our simulation setup, five different video sequences in CIF resolution are employed, whose characteristics are summarized in Table4 . All the video sequences are encoded at 30 fps and have a GOP size of 16 frames.... ..."

Table 1: Video Sequence Characteristics

in An ATM Service Architecture for the Transport of Adaptively Encoded Live Video
by Brett Vickers Tatsuya

Table 1)Video sequences characteristics

in Secure Transmission of MPEG Video Sources
by Lus Teixeira Lus, Lus Sarmento

Table 7: Video Sequences Statistics

in An Adaptive Algorithm for Measurement-based Admission Control in Integrated Services Packet Networks
by Claudio Casetti, Jim Kurose, Don Towsley 1996
"... In PAGE 18: ...simpsons), Asterix (asterix), Mr. Bean (mr.bean), Formula 1 Car Race (race ). Table7 lists mean rate, peak rate and Hurst parameter for each of these traces. The Hurst parameter (H) is useful to determine the long-range dependence of a trace: values of H close to 1 indicate a high degree of LRD, whereas the absence of LRD is denoted by H = 0:5 (see [23]).... ..."

TABLE II COMPRESSION OF VIDEO SEQUENCES.

in Road Scene Monotony Detection in a Fatigue Management Driver Assistance System
by Luke Fletcher

Table 2: Investigated video streams: TV series. sequence video audio

in Video and Audio Trace Files of Pre-encoded Video Content for Network Performance Measurements
by Frank H. P. Fitzek, Michele Zorzi, Patrick Seeling, Martin Reisslein 2003
"... In PAGE 4: ... A subset of all investigated sequences is given in Tables 1 and 2. The video sequences given in Table 1 are used also for the statistical evaluation, while sequences in Table2 are listed because of specific character- istics found. The tables give the sequence name and video and audio information.... ..."
Cited by 1

Table 5.1 Tested Stereo Video Sequences Stereo Video

in End-to-End Stereoscopic Video Streaming System
by Selen Pehlivan, Selen Pehlivan, A. Murat Tekalp, Ph. D 2006
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