< Previous
Next >
You are given a series of video clips from a sporting event that lasted time
seconds. These video clips can be overlapping with each other and have varying lengths.
Each video clip is described by an array clips
where clips[i] = [starti, endi]
indicates that the ith clip started at starti
and ended at endi
.
We can cut these clips into segments freely.
- For example, a clip
[0, 7]
can be cut into segments [0, 1] + [1, 3] + [3, 7]
.
Return the minimum number of clips needed so that we can cut the clips into segments that cover the entire sporting event [0, time]
. If the task is impossible, return -1
.
Example 1:
Input: clips = [[0,2],[4,6],[8,10],[1,9],[1,5],[5,9]], time = 10
Output: 3
Explanation:
We take the clips [0,2], [8,10], [1,9]; a total of 3 clips.
Then, we can reconstruct the sporting event as follows:
We cut [1,9] into segments [1,2] + [2,8] + [8,9].
Now we have segments [0,2] + [2,8] + [8,10] which cover the sporting event [0, 10].
Example 2:
Input: clips = [[0,1],[1,2]], time = 5
Output: -1
Explanation: We can't cover [0,5] with only [0,1] and [1,2].
Example 3:
Input: clips = [[0,1],[6,8],[0,2],[5,6],[0,4],[0,3],[6,7],[1,3],[4,7],[1,4],[2,5],[2,6],[3,4],[4,5],[5,7],[6,9]], time = 9
Output: 3
Explanation: We can take clips [0,4], [4,7], and [6,9].
Example 4:
Input: clips = [[0,4],[2,8]], time = 5
Output: 2
Explanation: Notice you can have extra video after the event ends.
Constraints:
1 <= clips.length <= 100
0 <= starti <= endi <= 100
1 <= time <= 100
[Greedy]
[Array]
[Dynamic Programming]
Hints
Hint 1
What if we sort the intervals? Considering the sorted intervals, how can we solve the problem with dynamic programming?
Hint 2
Let's consider a DP(pos, limit) where pos represents the position of the current interval we are gonna take the decision and limit is the current covered area from [0 - limit]. This DP returns the minimum number of taken intervals or infinite if it's not possible to cover the [0 - T] section.