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I need to know the relation of the data provided by trace files with the real bitstream file.

Using JSVM someone can have a video trace file as the output of BitStreamExtractorStatic using the flag -pt. The question I have is in which way are the data of the video trace file mapped with the real bitstream file (to segment the bitstream file in a right way).

The first column of the trace file gives start position of each of the packets starting from position 0x0000000.

Provided this, I suppose that the value of the last record of the file should be equal to the file size in bytes of the bitstream file, am I right? But these two do never match, they are close but the never match.

My intention is to segment the bitstream file into packets and then try transfer it over the network (this will be done in simulation mode building my own simulation). I suppose that to do that I have to use the trace file provided as output from BitStreamExtractorStatic.

So the question is "can I use this trace file to segment the bitstream file in the scheme provided by the trace file"?

The traditional target detection or scene segmentation model can realize the extraction of video features, but the obtained features cannot restore the pixel information of the original video (if there is a deviation in understanding, please correct me). May I ask which articles have introduced a method for extracting video features and using these features for video reconstruction (that is, to achieve feature-to-pixel mapping). That is, the extracted video features can contain semantic information, or can they be used for video reconstruction?

I am recently analyzing some eye-tracking data of human reading, and I facing an obstacle to map the fixation positions on the recorded video to the stimulus image. I'm using SMI ETG 2w, and the BeGaze software only provide manual mapping method.

Are there any third-party software that can automatically map eye fixation position on recorded video to stimulus image?

Thanks in advance.

I would like work on analysis of SAR images and optical/multispectral images. Hence I am in need of freely available database of these images. Images of same location should be captured during same time (may be same week or same month).   

Natural images are often associated with textures. From most edge detectors I have come across, the emphasis is usually not on rejecting textures. For complex images, both textures and boundaries are captured. I wanted to have an algorithm (or an idea) that only detects boundaries of objects, like in a hand-drawn art drawing. Any one with idea, please share.

I'm using the batch scripts generated by SPM12 in my own Matlab codes. I'm trying to use "deploytool" in Matlab2015b to compile my codes into an "exe" file. I've included SPM12 as the required files to run the program. But when I run the "exe" file, I got errors as follows:

> Undefined function or variable 'cfg_mlbatch_appcfg_master'.

> Error in cfg_util>local_initapps (line 1440)

> Error in cfg_util (line 743)

> Error in spm_jobman (line 189)

One link I found online related to this problem is not helpful: https://www.jiscmail.ac.uk/cgi-bin/webadmin?A2=ind1606&L=spm&F=&S=&P=612689

I don't know if anyone knows how to solve this problem.

Thanks!

Hello everybody!

I was wondering what are the possibilities of utilization of QGIS, its toolboxes and plugins to conduct a research on natural disasters and hazards with emphasis on geotechinical variables [e.g. soil, vegetation and hydrology].

Would like to know also if anyone would happen to know where i could access some training datasets, video tutorials (or not) and/or some references.

I've taken a brief look in INSAFE QGIS plugin, but other than this brief look, I have a shallow understing of the actual workflow of this kind of studies.

Thanks!

I analyse interactions in an EFL classroom context. I am looking for a qualitative data analysis software that can:

a) do different levels of coding

b) synchronise video material with the transcriptions

c) present analysed data  using charts, mind maps, tables as well

d) provide functions to enable  exporting analysed data on excel tables etc.

Thanks

Traditional aerial surveying engaged a fixed wing aircraft with a fitted camera in its fuselage for image capture. UAV's have entered the market and promises current technology solutions. How feasible is this approach?