numOfSignComp=int(raw_input("Enter number of Significant Components m:\n"))
#numOfBits=1
#numOfSignComp=2
#videoDir=r'F:\ASU_Projects\MIS\mis\Phase3\reducedSizeVideo'
#videoFileName='R2'
#frameId=0
fullPath = '{0}{2}{1}'.format(videoDir, videoFileName+fileSuffix, slash)
tasks=['1a', '1b', '1c', '1d', '2']
a_outFileName='{0}_hist_{1}.hst'.format(videoFileName,numOfBits)
b_outFileName = '{0}_blockdct_{1}.bct'.format(videoFileName, numOfBits)
c_outFileName = '{0}_blockdwt_{1}.bwt'.format(videoFileName, numOfBits)
d_outFileName='{0}_diff_{1}.dhc'.format(videoFileName,numOfBits)
Task1.extract_video_portion(fullPath, width, height, numOfBits, a_outFileName,b_outFileName,c_outFileName,d_outFileName)
for index, task_name in enumerate(tasks):
if task_name == '1a':
sorted_similarity=getSimilarFrames(a_outFileName,frameId)
visualizeFrames(fullPath, sorted_similarity, frameId,"Task1a")
elif task_name == '1b':
sorted_similarity=getSimilarFrames(b_outFileName, frameId)
visualizeFrames(fullPath, sorted_similarity, frameId, "Task1b")
elif task_name == '1c':
sorted_similarity=getSimilarFrames(c_outFileName, frameId)
visualizeFrames(fullPath, sorted_similarity, frameId, "Task1c")
elif task_name == '1d':
sorted_similarity=getSimilarFramesForDiffQuantization(d_outFileName,fullPath,frameId,width,height,numOfBits)
visualizeFrames(fullPath, sorted_similarity, frameId, "Task1d")
elif task_name == '2':
