The increased availability and usage of on-line digital
video has created a need for automated video content analysis
techniques including indexing and retrieving. Most research on
video content involves automatically detecting the boundaries
between camera shots. After shot detection there is a need for
shots indexing in a library which enables retrieving for the
required stream based on shot. There is a need to build an
efficient digital library for those shots, saving the proper
features for each shot/frames, which will enable efficient
retrieval for user’s requirement. This paper presents an
automation technique for video indexing and creation of a
digital library. We will present how to detect shots cuts and
features, which will be saved for the video shots/frames. Also
build a video digital library composed of the stream
shots/frames plus wavelet coefficients for video stream shot’s
key or all frames (for full search function in all frames of the
indexed video). The digital library represents full video
streams frames indexed into shots with overhead in the stored
size just 16.2 % as wavelet coefficients. The retrieving
efficiency for a shot while having an input frame is ranged
from 100%, if the input frame is saved keyframe, down to 94%
if the input frame is any other frame. Our digital library is
valid for any number of video streams, any number of shots/
streams and any number of frames/shot